research article robust fuzzy output feedback control for...
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Hindawi Publishing CorporationMathematical Problems in EngineeringVolume 2013 Article ID 197845 14 pageshttpdxdoiorg1011552013197845
Research ArticleRobust Fuzzy119867
infinOutput Feedback Control for a Class of
Nonlinear Uncertain Systems with Mixed Time Delays
Xiaona Song and Shanzhong Liu
Electronic and Information Engineering College Henan University of Science and Technology Luoyang 471023 China
Correspondence should be addressed to Xiaona Song xiaona 97163com
Received 25 June 2013 Accepted 18 August 2013
Academic Editor Baoyong Zhang
Copyright copy 2013 X Song and S Liu This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited
This paper studies the problem of delay-dependent robust119867infinoutput feedback control for a class of uncertain fuzzy neutral systems
with both discrete and distributed delays The system is described by a state-space Takagi-Sugeno fuzzy model with distributeddelays and norm-bounded parameter uncertainties The purpose is to design a fuzzy dynamic output feedback controller whichensures the robust asymptotic stability of the closed-loop fuzzy neutral system and satisfies an 119867
infinnorm bound constraint for all
admissible uncertainties In terms of linearmatrix inequalities sufficient conditions for the solvability of this problem are presentedFinally a numerical example is included to demonstrate the effectiveness of the proposed method
1 Introduction
Fuzzy control as a promising way to approach nonlinearcontrol problems has had an impact on the control com-munity [1ndash4] Furthermore the Takagi-Sugeno (T-S) fuzzydynamic model [5ndash9] is nonlinear system described by fuzzyIF-THEN rules which give local linear representations ofthe underlying systems [10 11] It has been shown that suchmodels can describe a wide class of nonlinear systems Henceit is important to investigate their stability analysis andcontroller design problems and in the past two decadesmanystability and control issues related to the T-S fuzzy systemshave been studied see for example [12ndash15] and the referencescited therein
On the other hand time delays exist commonly indynamic systems due to measurement transmission trans-port lags and so forth [16] which have been generallyregarded as a main source of instability and poor perfor-manceThus the analysis of time delay systems and controllerdesign for them is very important [17ndash20] Recently T-Sfuzzy systems with time delays have attracted a great dealof interests For example in [21] the stability analysis andstabilization problems for T-S fuzzy delay systems wereconsidered and state feedback fuzzy controllers and fuzzyobservers were designed The robust 119867
infincontrol problem
for T-S fuzzy systems with time delays was investigated in[22 23] and state feedback fuzzy controllers were designedthe corresponding results for the discrete case can be foundin [24 25] while in [26 27] the robust119867
infinoutput feedback
controllers were designed for the continuous and discretefuzzy time-delay systems respectively
Quite recently T-S fuzzy time-delay systems of neutraltypewere introduced in [28] where both the stabilization and119867infincontrol problemswere studied It should be point out that
distributed delays were not taken into accountWhile in [29]authors considered the problems of robust stabilization androbust 119867
infincontrol for uncertain T-S fuzzy neutral systems
with both discrete and distributed time delays However theresults in [28 29] were all delay-independent It is knownthat delay-dependent results are less conservative than delay-independent ones especially in the case when the size of thedelay is small On the other hand these obtained resultshowever are mainly dealt with through a state feedbackcontroller design method that requires all state variables tobe available In many cases this condition is too restrictiveSo it is meaningful to investigate the output feedback controlmethod To the best of our knowledge so far there areno results of delay-dependent robust 119867
infinoutput feedback
control for uncertain fuzzy neutral systemswith both discreteand distributed delays This motives the present studies
2 Mathematical Problems in Engineering
In this paper we consider the delay-dependent robust119867infin
output feedback control problem for fuzzy neutral systemswith both discrete and distributed delays The system to beconsidered is described by a state-spaceT-S fuzzymodel withmixed delays and norm-bounded parameter uncertaintiesThe distributed delays are assumed to appear in the stateequation and the uncertainties are allowed to be time varyingbut norm bounded The aim of this paper is to design a full-order fuzzy dynamic output feedback controller such that theresulting closed-loop system is robustly asymptotically stablewhile satisfying an 119867
infinnorm condition with a prescribed
level irrespective of the parameter uncertainties A sufficientcondition for the solvability of this problem is proposedin terms of linear matrix inequalities (LMIs) When theseLMIs are feasible an explicit expression of a desired outputfeedback controller is also given
Notation Throughout this paper for real symmetric matrices119883 and 119884 the notation 119883 ge 119884 (resp 119883 gt 119884) means that thematrix119883minus119884 is positive semidefinite (resp positive definite)119868 is an identity matrix with appropriate dimension N is theset of natural numbersL
2[0infin) refers to the space of square
summable infinite vector sequences sdot 2stands for the usual
L2[0infin) normThenotation119872119879 represents the transpose of
the matrix119872 Matrices if not explicitly stated are assumedto have compatible dimensions ldquolowastrdquo is used as an ellipsis forterms induced by symmetry
2 Problem Formulation
A continuous T-S fuzzy neutral model with distributeddelays and parameter uncertainties can be described by thefollowing
Plant Rule 119894 if 1199041(119905) is 120583
1198941and sdot sdot sdot and 119904
119901(119905) is 120583
119894119901 then
(119905) = [119860119894+ Δ119860119894(119905)] 119909 (119905) + [119860
1119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [119862119894+ Δ119862119894(119905)] 119909 (119905) + 119862
1119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) = 119864119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
119909 (119905) = 120601 (119905) forall119905 isin [minus120591 0] 119894 = 1 2 119903
(1)
where 120583119894119895is the fuzzy set 119903 is the number of IF-THEN rules
and 1199041(119905) 119904
119901(119905) are the premise variablesThroughout this
paper it is assumed that the premise variables do not dependon control variables 119909(119905) isin R119899 is the state 119906(119905) isin R119898
is the control input 119910(119905) isin R119904 is the measured output119911(119905) isin R119902 is the controlled output 119908(119905) isin R119901 is the noisesignal 120591
119894gt 0 (119894 = 1 2 3) are integers representing the
time delay of the fuzzy systems 120591 = max1205911 1205912 1205913 119860119894 1198601119894
1198602119894 1198603119894 119861119894 119862119894 1198621119894 1198631119894 1198632119894 119864119894 1198642119894 and 119866
119894are known real
constant matrices Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905)
and Δ119862119894(119905) are real-valued unknown matrices representing
time-varying parameter uncertainties and are assumed to beof the form[Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905)]
= 119872119894119865119894(119905) [119873
011989411987311198941198732119894119873311989411987341198941198735119894] 119894 = 1 2 119903
(2)
where 119872119894 1198730119894 1198731119894 1198732119894 1198733119894 1198734119894 and 119873
5119894are known real
constant matrices and 119865119894(sdot) N rarr R1198971times1198972 are unknown time-
varying matrix function satisfying
119865119894(119905)119879
119865119894(119905) le 119868 forall119905 (3)
The parameter uncertainties Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905)
Δ1198603119894(119905) Δ119861
119894(119905) and Δ119862
119894(119905) are said to be admissible if both
(2) and (3) holdThen the final output of the fuzzy neutral system is
inferred as follows
(119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119860
119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905) int
119905
119905minus1205913
119909 (119904) 119889119904]
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119862
119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)]
(4)
where
ℎ119894(119904 (119905)) =
120603119894(119904 (119905))
sum119903
119894=1120603119894(119904 (119905))
120603119894(119904 (119905)) =
119901
prod
119895=1
120583119894119895(119904119895(119905))
119904 (119905) = [1199041(119905) 1199042(119905) sdot sdot sdot 119904
119901(119905)]
(5)
in which 120583119894119895(119904119895(119905)) is the grade of membership of 119904
119895(119905) in 120583
119894119895
Then it can be seen that
120603119894(119904 (119905)) ge 0 119894 = 1 119903
119903
sum
119894=1
120603119894(119904 (119905)) gt 0
(6)
Mathematical Problems in Engineering 3
for all 119905 Therefore for all 119905
ℎ119894(119904 (119905)) ge 0 119894 = 1 119903
119903
sum
119894=1
ℎ119894(119904 (119905)) = 1 forall119905
(7)
Now by the parallel distributed compensation (PDC) the fol-lowing full-order fuzzy dynamic output feedback controllerfor the fuzzy neutral system in (4) is considered
Control Rule 119894 if 1199041(119905) is 120583
1198941and sdot sdot sdot and 119904
119901(119905) is 120583
119894119901 then
(119905) = 119860
119896119894119909 (119905) + 119861
119896119894119910 (119905) (8)
119906 (119905) = 119862119896119894119909 (119905) 119894 = 1 2 119903 (9)
119909 (119905) = 0 119905 le 0 (10)
where 119909(119905) isin R119899 is the controller state and 119860119896119894 119861119896119894 and 119862
119896119894
are matrices to be determined later Then the overall fuzzyoutput feedback controller is given by
(119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119860
119896119894119909 (119905) + 119861
119896119894119910 (119905)] (11)
119906 (119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) 119862
119896119894119909 (119905) 119894 = 1 2 119903 (12)
From (4) and (11) one can obtain the closed-loop system as
119890 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)]
timesint
119905
119905minus1205913
119890 (119904) 119889119904 + 119863119894119895119908 (119905)
(13)
119911 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) [119864
119894119895119890 (119905) + 119864
1119894119890 (119905 minus 120591
1)]
(14)
where
119890 (119905) = [
(119905)
(119905)
]
119860119894119895= [
119860119894
119861119894119862119896119895
119861119896119895119862119894119860119896119895
]
Δ119860119894119895(119905) = [
Δ119860119894(119905) Δ119861
119894(119905) 119862119896119895
119861119896119895Δ119862119894(119905) 0
]
1198601119894119895= [
1198601119894
0
11986111989611989511986211198940] Δ119860
1119894(119905) = [
Δ1198601119894(119905) 0
0 0]
1198602119894= [
11986021198940
0 0] Δ119860
2119894(119905) = [
Δ1198602119894(119905) 0
0 0]
1198603119894= [
11986031198940
0 0] Δ119860
3119894(119905) = [
Δ1198603119894(119905) 0
0 0]
119863119894119895= [
1198631119894
1198611198961198951198632119894
] 119864119894119895= [119864119894119866119894119862119896119895]
1198641119894= [11986411198940]
(15)
Then the problem of robust fuzzy119867infincontrol problem to be
addressed in the previous is formulated as follows given anuncertain distributed delay fuzzy neutral system in (4) anda scalar 120574 gt 0 determine a dynamic output feedback fuzzycontroller in the form of (8) and (9) such that the closed-loopsystem in (13) and (14) is robustly asymptotically stable when119908(119905) = 0 and
1199112lt 120574119908
2 (16)
under zero-initial conditions for any nonzero 119908(119905) isin
L2[0infin) and all admissible uncertainties
3 Main Results
In this section an LMI approach will be developed tosolve the problem of robust output feedback 119867
infincontrol of
uncertain distributed delay fuzzy neutral systems formulatedin the previous section We first give the following resultswhich will be used in the proof of our main results
Lemma 1 (see [30]) LetADSW and119865 be realmatrices ofappropriate dimensions withW gt 0 and 119865 satisfying 119865119879119865 le 119868Then one has the following
(1) For any scalar 120598 gt 0 and vectors 119909 119910 isin R119899
2119909119879
DFS119910 le 120598minus1
119909119879
DD119879
119909 + 120598119910119879
S119879
S119910 (17)
(2) For any scalar 120598 gt 0 such thatW minus 120598DD119879 gt 0
(A +DFS)119879
Wminus1
(A +DFS)
le A119879
(W minus 120598DDT)
minus1
A + 120598minus1
S119879
S
(18)
4 Mathematical Problems in Engineering
Lemma 2 (see [31]) Given any matrices X Y and Z withappropriate dimensions such thatY gt 0 then one has
X119879
Z +Z119879
X le X119879
YX +Z119879
Yminus1
Z (19)
Theorem 3 The uncertain fuzzy neutral delay system in (13)and (14) is asymptotically stable and (16) is satisfied if thereexist matrices 119875 gt 0 119875
1gt 0 119875
2gt 0 119876
1gt 0 119876
2gt 0 119877
1 and
1198772and scalars 120598
119894119895gt 0 1 le 119894 le 119895 le 119903 such that the following
LMIs hold
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111198771
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059111198772119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(20)
whereΛ1119894119895
=
[
[
[
[
Π1119894119895+ Π1119895119894
Π2119894119895+ Π2119895119894
1198751198602119894+ 11987511986021198951198751198603119894+ 1198751198603119895
lowast 21198691
0 0
lowast lowast minus21198752
0
lowast lowast lowast minus21198762
]
]
]
]
Λ2119894119895=
[
[
[
[
[
119875119863119894119895+ 119875119863119895119894212059111198771119864119879
119894119895+ 119864119879
119895119894Γ119894119895+ Γ119895119894
0 212059111198772119864119879
1119894+ 119864119879
1119895Γ1119894119895+ Γ1119895119894
0 0 0 Γ2119894+ Γ2119895
0 0 0 Γ3119894+ Γ3119895
]
]
]
]
]
Λ3119894119895=
[
[
[
[
[
[
[
119875119872119894119895119875119872119895119894119873119879
119894119895119873119879
119895119894
0 0 119879
1119894119879
1119895
0 0 119879
2119894119879
2119895
0 0 119879
3119894119879
3119895
]
]
]
]
]
]
]
Λ4119894119895=
[
[
[
[
minus21205742
119868 0 0 Γ4119894119895+ Γ4119895119894
lowast minus212059111198761
0 0
lowast lowast minus2119868 0
lowast lowast lowast minus2119869119879
2
]
]
]
]
Λ5119894119895=
[
[
[
[
0 0 0 0
0 0 0 0
0 0 0 0
119869119879
2119872119894119895119869119879
21198721198951198940 0
]
]
]
]
Λ6119894119895=
[
[
[
[
[
minus120598119894119895119868 0 0 0
lowast minus120598119895119894119868 0 0
lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
Υ1= 119867119879
(1198751+ 1205912
31198762minus 1198771minus 119877119879
1)119867
Π1119894119895= Υ1+ 119875119860119894119895+ 119860119879
119894119895119875
Υ2= 119867119879
(1198771minus 119877119879
2) Π
2119894119895= Υ2+ 1198751198601119894119895
Γ119894119895= 119860119879
119894119895(1198752+ 12059111198761)
Γ1119894119895= 119860119879
1119894119895(1198752+ 12059111198761) Γ
2119894= 119860119879
2119894(1198752+ 12059111198761)
Γ3119894= 119860119879
3119894(1198752+ 12059111198761) Γ
4119894119895= 119863119879
119894119895(1198752+ 12059111198761)
1198691= minus1198751+ 1198772+ 119877119879
2 119869
2= 1198752+ 12059111198761
119872119894119895= [
119872119894
0
0 119861119896119895119872119894
] 119865119894(119905) = [
119865119894(119905) 0
0 119865119894(119905)]
119873119894119895= [
11987301198941198733119894119862119896119895
1198734119894
0
] 1119894= [
11987311198940
0 0]
2119894= [
11987321198940
0 0]
3119894= [
11987331198940
0 0]
(21)
Proof To establish the robust stability of the system in (13)we consider (13) with 119908(119905) equiv 0 that is
119890 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
(22)
Mathematical Problems in Engineering 5
For this system we define the following Lyapunov functioncandidate
119881 (119905) = 1198811(119905) + 119881
2(119905) + 119881
3(119905) + 119881
4(119905) + 119881
5(119905) + 119881
6(119905)
(23)
where
1198811(119905) = 119890(119905)
119879
119875119890 (119905)
1198812(119905) = int
119905
119905minus1205911
119890(119904)119879
1198751119890 (119904) 119889119904
1198813(119905) = int
119905
119905minus1205912
119890(119904)119879
1198752119890 (119904) 119889119904
1198814(119905) = int
0
minus1205911
int
119905
119905+120573
119890(120572)119879
1198761119890 (120572) 119889120572 119889120573
1198815(119905) = int
119905
119905minus1205913
[int
119905
119904
119890(120579)119879
119889120579]1198762[int
119905
119904
119890 (120579) 119889120579] 119889119904
1198816(119905) = int
1205913
0
119889119904int
119905
119905minus120573
(120579 minus 119905 + 120573) 119890(120572)119879
1198762119890 (120572) 119889120572 119889120573
(24)
The time derivative of 119881(119905) is given by
(119905) = 1(119905) +
2(119905) +
3(119905) +
4(119905) +
5(119905) +
6(119905)
(25)
where
1(119905) = 2119890(119905)
119879
119875 119890 (119905)
2(119905) = 119890(119905)
119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
3(119905) = 119890(119905)
119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
4(119905) = 120591
1119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
5(119905) = 2int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(119905)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
6(119905) =
1
2
1205912
3119890(119905)119879
1198762119890 (119905) minus int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
(26)
Now by Lemma 1 it can be shown that
2119890(119905)119879
1198762119890 (120579) le 119890(119905)
119879
1198762119890 (119905) + 119890(120579)
119879
1198762119890 (120579) (27)
Therefore
5(119905) le
1
2
1205912
3119890(119905)119879
1198762119890 (119905)
+ int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
(28)
This together with (26) implies
5(119905) +
6(119905) le 120591
2
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905) (29)
where
120572 (119905) = int
119905
119905minus1205913
119890 (120579) 119889120579 (30)
Then there holds
(119905) le 2119890(119905)119879
119875 119890 (119905)
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
+ 1205912
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905 minus 1205911)119879
1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(31)
It follows from (22) and Lemma 2 that
2119890(119905)119879
119875 119890 (119905)
= 2119890(119905)119879
119875
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
le 2
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 119890(119905)
119879
119875119860119894119895120573 (119905)
+
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [120576minus1
1119894119895119890(119905)119879
119875119872119894119895119872119879
119894119895119875119890 (119905)
+ 1205761119894119895120573(119905)119879
119879
119894119895119894119895120573 (119905)]
(32)
where
119860119894119895= [1198601198941198951198601119894119895
11986021198941198603119894]
120573 (119905) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119890(120572)119879]
119894119895= [119873119894119895111989421198943119894]
(33)
6 Mathematical Problems in Engineering
It also can be verified that
119890(119905)119879
1198752119890 (119905)
=
1
2
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) ℎ
119906(119904 (119905)) ℎV (119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905)119894119895]
119879
times 1198752[119860119906V +119872119906V119865119906 (119905) 119906V]
+ [119860119906V +119872119906V119865119906 (119905) 119906V]
119879
times 1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895] 120573 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905) 119894119895]
119879
1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895]
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860
119879
119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 1205762119894119895119879
119894119895119894119895] 120573 (119905)
1205911119890(119905)119879
1198761119890 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times 119860
119879
119894119895[(12059111198761)minus1
minus 120576minus1
3119894119895119872119894119895119872119879
119894119895]
minus1
119860119894119895
+ 1205763119894119895119879
119894119895119894119895120573 (119905)
(34)
Hence with the support of the above conditions we have
(119905) le 2119890(119905)119879
119875 119890 (119905) + 119890(119905)119879
1198752119890 (119905)
+ 1205911119890(119905)119879
1198761119890 (119905) + 119890(119905)
119879
(1198751+ 1205912
31198762) 119890 (119905)
minus 119890(119905 minus 1205911)119879
1198751119890 (119905 minus 120591
1)
minus 119890(119905 minus 1205912)119879
1198752119890 (119905 minus 120591
2) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
minus 120572(119905)119879
1198762120572 (119905) + 2119890(119905)
119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
=
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [Ξ119894119895+ 119860119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895
+119860119894119895(120591minus1
1119876minus1
1minus 120576minus1
3119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 120575119894119895119879
119894119895119894119895] 120573 (119905)
(35)
where
Ξ119894119895=
[
[
[
[
[
[
Σ1198941198951198751198601119894119895+ 1198771minus 119877119879
211987511986021198941198751198603119894
12059111198771
lowast minus1198751+ 1198772+ 119877119879
20 0 120591
11198772
lowast lowast minus1198752
0 0
lowast lowast lowast minus1198762
0
lowast lowast lowast lowast minus12059111198761
]
]
]
]
]
]
Σ119894119895= 119875119860119894119895+ 119860119879
119894119895119875 + 1198751+ 1205912
31198762minus 1198771minus 119877119879
1+ 120576minus1
1119894119895119875119872119894119895119872119879
119894119895119875
(36)
for 1 le 119894 le 119895 le 119903 On the other hand by applying the Schurcomplement formula to (20) we have that for 1 le 119894 lt 119895 le 119903
Γ119894119895lt 0 (37)
and from this and (7) we have that (119905) lt 0 for all 120573(119905) = 0Therefore the system in (13) is robustly asymptotically stable
This completes the proof
Next we will establish the robust119867infinperformance of the
system in (13) and (14) under the zero initial condition Tothis end we introduce
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904)] 119889119904 (38)
where 119905 gt 0 Noting the zero initial condition it can be shownthat for any nonzero 119908(119905) isinL
2[0infin) and 119905 gt 0
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904 minus 119881 (119905)
le int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904
(39)
where 119881(119904) is defined in (23) and then we have
(119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times 2119890(119905)119879
119875 [119860119894119895(119905) 119890 (119905) + 119860
1119894119895(119905) 119890 (119905 minus 120591
1)
+ 1198602119894(119905) 119890 (119905 minus 120591
2)
+1198603119894(119905) 120572 (119905) + 119863
119894119895119908 (119905)]
Mathematical Problems in Engineering 7
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905)
minus int
119905
119905minus1205911
119890(119905)119879
1198761119890 (120572) 119889120572 + 120591
2
3119890(119905)119879
1198762119890 (119905)
minus 120572(119905)119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905)119879
times 1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(40)
Then by noting (14) and using Lemma 2 we have
119911(119904)119879
119911 (119904) =
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) ℎ
119906(119904 (119904))
times ℎV (119904 (119904)) 120577(119904)119879
119864119879
119894119895119864119906V120577 (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
119864119879
119894119895119864119894119895120577 (119904)
(41)
It can be deduced that
119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
Π1119894119895120577 (119904)
=
119903
sum
119894=1
ℎ119894(119904 (119904))
2
120577(119904)119879
Ξ1119894119894120577 (119904)
+ 2
119903
sum
119894119895=1119894lt119895
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879Ξ1119894119895+ Ξ1119895119894
2
120577 (119904)
(42)
where
Ξ1119894119895=
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Σ1198941198951198751198601119894119895(119905) + 119877
1minus 119877119879
21198751198602119894(119905) 119875119860
3119894(119905) 119875119863
11989411989512059111198771
119864119879
119894119895119860119879
119894119895(119905) (1198752+ 12059111198761)
lowast 1198691
0 0 0 12059111198772119864119879
1119894119860119879
1119894119895(119905) (1198752+ 12059111198761)
lowast lowast minus1198752
0 0 0 0 119860119879
2119894(119905) (1198752+ 12059111198761)
lowast lowast lowast minus1198762
0 0 0 119860119879
3119894(119905) (1198752+ 12059111198761)
lowast lowast lowast lowast minus1205742
119868 0 0 119863119879
119894119895(1198752+ 12059111198761)
lowast lowast lowast lowast lowast minus12059111198762
0 0
lowast lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast lowast minus(1198752+ 12059111198761)119879
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
120577 (119904) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119908(119905)119879
119890(120572)119879]
119879
119864119894119895= [11986411989411989511986411198940 0 0 0]
(43)
for 1 le 119894 lt 119895 le 119903 Similar to the previous section applyingthe Schur complement formula to the LMI in (20) results inΞ1119894119895lt 0 1 le 119894 lt 119895 le 119903 which together with (39) gives 119869(119905) lt 0
for any nonzero 119908(119905) isin L2[0infin) and 119905 gt 0 Therefore we
have 1199112lt 120574119908
2
Now we are in a position to present a solution to therobust output feedback119867
infincontrol problem
Theorem4 Consider the uncertain fuzzy neutral delay systemin (1) and let 120574 gt 0 be a prescribed constant scalar The robust119867infin
problem is solvable if there exist matrices 119883 gt 0 119884 gt 01198761 1198762 Φ119894 Ψ119894 and Ω
119894and scalars 120598
119894119895 1 le 119894 le 119895 le 119903 such that
the following LMIs hold
[
[
[
[
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
Σ3119894119894
1198775
lowast minus119877111198772119894119894
0 0
lowast lowast 1198773119894119894
0 1198776119894119894
lowast lowast lowast minus1198774
0
lowast lowast lowast lowast minus1198777
]
]
]
]
]
]
lt 0 1 le 119894 le 119903 (44)
8 Mathematical Problems in Engineering
[
[
[
[
[
[
[
[
[
[
Σ119894119895+ Σ119895119894Σ1119894119895+ Σ1119895119894
Σ2119894119895
Σ4119894119895
Σ5119894119895
Σ6119894119895
0
lowast minus211987711
2119894119895
0 0 0 0
lowast lowast 3119894119895
0 0 0 6119894119895
lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast minus1198778
0 0
lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast minus119868
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 lt 119895 le 119903 (45)
[
minus119884 minus119868
minus119868 minus119883] lt 0 (46)
where
Θ119894119895
= [
119860119894119883 + 119883119860
119879
119894+ 119861119894Ψ119895+ Ψ119879
119895119861119879
119894119860119894+ Ω119879
119894
119860119879
119894+ Ω119894
119884119860119894+ 119860119879
119894119884 + Φ
119895119862119894+ 119862119879
119894Φ119879
119895
]
minus1198771minus 119877119879
1
Θ1119894119895= [
1198601119894119883 119860
1119894
0 1198841198601119894+ Φ1198951198621119894
] + 1198771minus 119877119879
2
Θ2119894= [
1198602119894
0
11988411986021198940] Θ
3119894= [
1198603119894
0
11988411986031198940]
Θ4119894119895= [
1198631119894
1198841198631119894+ Φ1198951198632119894
] Θ5119894119895= [
119883119864119879
119894+ Ψ119879
119895119866119879
119894
119864119879
119894
]
Θ6119894119895= [
119883119860119879
119894+ Ψ119879
119895119861119879
119894Ω119879
119895
119860119879
119894119860119879
119894119884 + 119862
119879
119894Φ119879
119895
]
Θ7119894119895= [
119872119894
0
119884119872119894Φ119895119872119894
]
Θ8119894119895= [
119883119873119879
0119894+ Ψ119879
119895119873119879
4119894119883119873119879
5119894
119873119879
0119894119873119879
5119894
] 1198693119894= [
119883119864119879
1119894
119864119879
1119894
]
1198694119894119895= [
1198831198601119894
0
1198601119894
1198601119894119884 + 119862
119879
1119894Φ119879
119895
]
1198695119894= [
119883119873119879
11198940
119873119879
11198940
] 1198696119894= [
119860119879
2119894119860119879
2119894119884
0 0
]
1198697119894= [
119860119879
3119894119860119879
3119894119884
0 0
]
1198698119894119895= [119863119879
1119894119863119879
1119894119884 + 119863
119879
2119894Φ119879
119895]
1198699= Π119879
2+ Π2minus 1198752minus 12059111198761
11986910119894119895
= [
119872119894
0
119884119872119894Φ119895119872119894
]
Σ119894119895=[
[
[
Θ119894119895
Θ1119894119895
Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
Σ1119894119895=[
[
[
Θ3119894Θ4119894119895
12059111198771
0 0 12059111198772
0 0 0
]
]
]
Σ2119894119895=[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895
0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895+ Θ5119895119894
Θ6119894119895+ Θ6119895119894
Θ7119894119895
Θ7119895119894
Θ8119894119895
Θ8119895119894
1198693119894+ 1198693119895
1198694119894119895+ 1198694119895119894
0 0 1198695119894
1198695119895
0 1198696119894+ 1198696119895
0 0 119879
2119894119879
2119895
]
]
]
]
Σ3119894119895=[
[
[
Π119879
11205913Π119879
1119879119894119895
0 0 0
0 0 0
]
]
]
119879119894119895= [
0
1198841198601119894+ Φ1198951198621119894
]
1198775=[
[
0 0 0
119879111987910
0 0 0
]
]
1198791= [
119909
0
] Σ4119894119895=[
[
[
1198792119894119895
1198793119894119895
1198794119894119895
1198795119894119895
0 0 0 0
0 0 0 0
]
]
]
1198792119894119895= [
(119862119894119909 minus 119862
119895119909)
119879
0
]
1198793119894119895= [
0
Φ119895minus Φ119894
] 1198794119894119895= [
(Ψ119895minus Ψ119894)
119879
0
]
1198795119894119895= [
0
119884119861119894minus 119884119861119895
]
Σ5119894119895=[
[
Π119879
11205913Π119879
11198791198941198950
0 0 0 1198791
0 0 0 0
]
]
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
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Stochastic AnalysisInternational Journal of
2 Mathematical Problems in Engineering
In this paper we consider the delay-dependent robust119867infin
output feedback control problem for fuzzy neutral systemswith both discrete and distributed delays The system to beconsidered is described by a state-spaceT-S fuzzymodel withmixed delays and norm-bounded parameter uncertaintiesThe distributed delays are assumed to appear in the stateequation and the uncertainties are allowed to be time varyingbut norm bounded The aim of this paper is to design a full-order fuzzy dynamic output feedback controller such that theresulting closed-loop system is robustly asymptotically stablewhile satisfying an 119867
infinnorm condition with a prescribed
level irrespective of the parameter uncertainties A sufficientcondition for the solvability of this problem is proposedin terms of linear matrix inequalities (LMIs) When theseLMIs are feasible an explicit expression of a desired outputfeedback controller is also given
Notation Throughout this paper for real symmetric matrices119883 and 119884 the notation 119883 ge 119884 (resp 119883 gt 119884) means that thematrix119883minus119884 is positive semidefinite (resp positive definite)119868 is an identity matrix with appropriate dimension N is theset of natural numbersL
2[0infin) refers to the space of square
summable infinite vector sequences sdot 2stands for the usual
L2[0infin) normThenotation119872119879 represents the transpose of
the matrix119872 Matrices if not explicitly stated are assumedto have compatible dimensions ldquolowastrdquo is used as an ellipsis forterms induced by symmetry
2 Problem Formulation
A continuous T-S fuzzy neutral model with distributeddelays and parameter uncertainties can be described by thefollowing
Plant Rule 119894 if 1199041(119905) is 120583
1198941and sdot sdot sdot and 119904
119901(119905) is 120583
119894119901 then
(119905) = [119860119894+ Δ119860119894(119905)] 119909 (119905) + [119860
1119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [119862119894+ Δ119862119894(119905)] 119909 (119905) + 119862
1119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) = 119864119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
119909 (119905) = 120601 (119905) forall119905 isin [minus120591 0] 119894 = 1 2 119903
(1)
where 120583119894119895is the fuzzy set 119903 is the number of IF-THEN rules
and 1199041(119905) 119904
119901(119905) are the premise variablesThroughout this
paper it is assumed that the premise variables do not dependon control variables 119909(119905) isin R119899 is the state 119906(119905) isin R119898
is the control input 119910(119905) isin R119904 is the measured output119911(119905) isin R119902 is the controlled output 119908(119905) isin R119901 is the noisesignal 120591
119894gt 0 (119894 = 1 2 3) are integers representing the
time delay of the fuzzy systems 120591 = max1205911 1205912 1205913 119860119894 1198601119894
1198602119894 1198603119894 119861119894 119862119894 1198621119894 1198631119894 1198632119894 119864119894 1198642119894 and 119866
119894are known real
constant matrices Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905)
and Δ119862119894(119905) are real-valued unknown matrices representing
time-varying parameter uncertainties and are assumed to beof the form[Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905)]
= 119872119894119865119894(119905) [119873
011989411987311198941198732119894119873311989411987341198941198735119894] 119894 = 1 2 119903
(2)
where 119872119894 1198730119894 1198731119894 1198732119894 1198733119894 1198734119894 and 119873
5119894are known real
constant matrices and 119865119894(sdot) N rarr R1198971times1198972 are unknown time-
varying matrix function satisfying
119865119894(119905)119879
119865119894(119905) le 119868 forall119905 (3)
The parameter uncertainties Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905)
Δ1198603119894(119905) Δ119861
119894(119905) and Δ119862
119894(119905) are said to be admissible if both
(2) and (3) holdThen the final output of the fuzzy neutral system is
inferred as follows
(119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119860
119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905) int
119905
119905minus1205913
119909 (119904) 119889119904]
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119862
119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)]
(4)
where
ℎ119894(119904 (119905)) =
120603119894(119904 (119905))
sum119903
119894=1120603119894(119904 (119905))
120603119894(119904 (119905)) =
119901
prod
119895=1
120583119894119895(119904119895(119905))
119904 (119905) = [1199041(119905) 1199042(119905) sdot sdot sdot 119904
119901(119905)]
(5)
in which 120583119894119895(119904119895(119905)) is the grade of membership of 119904
119895(119905) in 120583
119894119895
Then it can be seen that
120603119894(119904 (119905)) ge 0 119894 = 1 119903
119903
sum
119894=1
120603119894(119904 (119905)) gt 0
(6)
Mathematical Problems in Engineering 3
for all 119905 Therefore for all 119905
ℎ119894(119904 (119905)) ge 0 119894 = 1 119903
119903
sum
119894=1
ℎ119894(119904 (119905)) = 1 forall119905
(7)
Now by the parallel distributed compensation (PDC) the fol-lowing full-order fuzzy dynamic output feedback controllerfor the fuzzy neutral system in (4) is considered
Control Rule 119894 if 1199041(119905) is 120583
1198941and sdot sdot sdot and 119904
119901(119905) is 120583
119894119901 then
(119905) = 119860
119896119894119909 (119905) + 119861
119896119894119910 (119905) (8)
119906 (119905) = 119862119896119894119909 (119905) 119894 = 1 2 119903 (9)
119909 (119905) = 0 119905 le 0 (10)
where 119909(119905) isin R119899 is the controller state and 119860119896119894 119861119896119894 and 119862
119896119894
are matrices to be determined later Then the overall fuzzyoutput feedback controller is given by
(119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119860
119896119894119909 (119905) + 119861
119896119894119910 (119905)] (11)
119906 (119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) 119862
119896119894119909 (119905) 119894 = 1 2 119903 (12)
From (4) and (11) one can obtain the closed-loop system as
119890 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)]
timesint
119905
119905minus1205913
119890 (119904) 119889119904 + 119863119894119895119908 (119905)
(13)
119911 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) [119864
119894119895119890 (119905) + 119864
1119894119890 (119905 minus 120591
1)]
(14)
where
119890 (119905) = [
(119905)
(119905)
]
119860119894119895= [
119860119894
119861119894119862119896119895
119861119896119895119862119894119860119896119895
]
Δ119860119894119895(119905) = [
Δ119860119894(119905) Δ119861
119894(119905) 119862119896119895
119861119896119895Δ119862119894(119905) 0
]
1198601119894119895= [
1198601119894
0
11986111989611989511986211198940] Δ119860
1119894(119905) = [
Δ1198601119894(119905) 0
0 0]
1198602119894= [
11986021198940
0 0] Δ119860
2119894(119905) = [
Δ1198602119894(119905) 0
0 0]
1198603119894= [
11986031198940
0 0] Δ119860
3119894(119905) = [
Δ1198603119894(119905) 0
0 0]
119863119894119895= [
1198631119894
1198611198961198951198632119894
] 119864119894119895= [119864119894119866119894119862119896119895]
1198641119894= [11986411198940]
(15)
Then the problem of robust fuzzy119867infincontrol problem to be
addressed in the previous is formulated as follows given anuncertain distributed delay fuzzy neutral system in (4) anda scalar 120574 gt 0 determine a dynamic output feedback fuzzycontroller in the form of (8) and (9) such that the closed-loopsystem in (13) and (14) is robustly asymptotically stable when119908(119905) = 0 and
1199112lt 120574119908
2 (16)
under zero-initial conditions for any nonzero 119908(119905) isin
L2[0infin) and all admissible uncertainties
3 Main Results
In this section an LMI approach will be developed tosolve the problem of robust output feedback 119867
infincontrol of
uncertain distributed delay fuzzy neutral systems formulatedin the previous section We first give the following resultswhich will be used in the proof of our main results
Lemma 1 (see [30]) LetADSW and119865 be realmatrices ofappropriate dimensions withW gt 0 and 119865 satisfying 119865119879119865 le 119868Then one has the following
(1) For any scalar 120598 gt 0 and vectors 119909 119910 isin R119899
2119909119879
DFS119910 le 120598minus1
119909119879
DD119879
119909 + 120598119910119879
S119879
S119910 (17)
(2) For any scalar 120598 gt 0 such thatW minus 120598DD119879 gt 0
(A +DFS)119879
Wminus1
(A +DFS)
le A119879
(W minus 120598DDT)
minus1
A + 120598minus1
S119879
S
(18)
4 Mathematical Problems in Engineering
Lemma 2 (see [31]) Given any matrices X Y and Z withappropriate dimensions such thatY gt 0 then one has
X119879
Z +Z119879
X le X119879
YX +Z119879
Yminus1
Z (19)
Theorem 3 The uncertain fuzzy neutral delay system in (13)and (14) is asymptotically stable and (16) is satisfied if thereexist matrices 119875 gt 0 119875
1gt 0 119875
2gt 0 119876
1gt 0 119876
2gt 0 119877
1 and
1198772and scalars 120598
119894119895gt 0 1 le 119894 le 119895 le 119903 such that the following
LMIs hold
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111198771
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059111198772119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(20)
whereΛ1119894119895
=
[
[
[
[
Π1119894119895+ Π1119895119894
Π2119894119895+ Π2119895119894
1198751198602119894+ 11987511986021198951198751198603119894+ 1198751198603119895
lowast 21198691
0 0
lowast lowast minus21198752
0
lowast lowast lowast minus21198762
]
]
]
]
Λ2119894119895=
[
[
[
[
[
119875119863119894119895+ 119875119863119895119894212059111198771119864119879
119894119895+ 119864119879
119895119894Γ119894119895+ Γ119895119894
0 212059111198772119864119879
1119894+ 119864119879
1119895Γ1119894119895+ Γ1119895119894
0 0 0 Γ2119894+ Γ2119895
0 0 0 Γ3119894+ Γ3119895
]
]
]
]
]
Λ3119894119895=
[
[
[
[
[
[
[
119875119872119894119895119875119872119895119894119873119879
119894119895119873119879
119895119894
0 0 119879
1119894119879
1119895
0 0 119879
2119894119879
2119895
0 0 119879
3119894119879
3119895
]
]
]
]
]
]
]
Λ4119894119895=
[
[
[
[
minus21205742
119868 0 0 Γ4119894119895+ Γ4119895119894
lowast minus212059111198761
0 0
lowast lowast minus2119868 0
lowast lowast lowast minus2119869119879
2
]
]
]
]
Λ5119894119895=
[
[
[
[
0 0 0 0
0 0 0 0
0 0 0 0
119869119879
2119872119894119895119869119879
21198721198951198940 0
]
]
]
]
Λ6119894119895=
[
[
[
[
[
minus120598119894119895119868 0 0 0
lowast minus120598119895119894119868 0 0
lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
Υ1= 119867119879
(1198751+ 1205912
31198762minus 1198771minus 119877119879
1)119867
Π1119894119895= Υ1+ 119875119860119894119895+ 119860119879
119894119895119875
Υ2= 119867119879
(1198771minus 119877119879
2) Π
2119894119895= Υ2+ 1198751198601119894119895
Γ119894119895= 119860119879
119894119895(1198752+ 12059111198761)
Γ1119894119895= 119860119879
1119894119895(1198752+ 12059111198761) Γ
2119894= 119860119879
2119894(1198752+ 12059111198761)
Γ3119894= 119860119879
3119894(1198752+ 12059111198761) Γ
4119894119895= 119863119879
119894119895(1198752+ 12059111198761)
1198691= minus1198751+ 1198772+ 119877119879
2 119869
2= 1198752+ 12059111198761
119872119894119895= [
119872119894
0
0 119861119896119895119872119894
] 119865119894(119905) = [
119865119894(119905) 0
0 119865119894(119905)]
119873119894119895= [
11987301198941198733119894119862119896119895
1198734119894
0
] 1119894= [
11987311198940
0 0]
2119894= [
11987321198940
0 0]
3119894= [
11987331198940
0 0]
(21)
Proof To establish the robust stability of the system in (13)we consider (13) with 119908(119905) equiv 0 that is
119890 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
(22)
Mathematical Problems in Engineering 5
For this system we define the following Lyapunov functioncandidate
119881 (119905) = 1198811(119905) + 119881
2(119905) + 119881
3(119905) + 119881
4(119905) + 119881
5(119905) + 119881
6(119905)
(23)
where
1198811(119905) = 119890(119905)
119879
119875119890 (119905)
1198812(119905) = int
119905
119905minus1205911
119890(119904)119879
1198751119890 (119904) 119889119904
1198813(119905) = int
119905
119905minus1205912
119890(119904)119879
1198752119890 (119904) 119889119904
1198814(119905) = int
0
minus1205911
int
119905
119905+120573
119890(120572)119879
1198761119890 (120572) 119889120572 119889120573
1198815(119905) = int
119905
119905minus1205913
[int
119905
119904
119890(120579)119879
119889120579]1198762[int
119905
119904
119890 (120579) 119889120579] 119889119904
1198816(119905) = int
1205913
0
119889119904int
119905
119905minus120573
(120579 minus 119905 + 120573) 119890(120572)119879
1198762119890 (120572) 119889120572 119889120573
(24)
The time derivative of 119881(119905) is given by
(119905) = 1(119905) +
2(119905) +
3(119905) +
4(119905) +
5(119905) +
6(119905)
(25)
where
1(119905) = 2119890(119905)
119879
119875 119890 (119905)
2(119905) = 119890(119905)
119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
3(119905) = 119890(119905)
119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
4(119905) = 120591
1119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
5(119905) = 2int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(119905)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
6(119905) =
1
2
1205912
3119890(119905)119879
1198762119890 (119905) minus int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
(26)
Now by Lemma 1 it can be shown that
2119890(119905)119879
1198762119890 (120579) le 119890(119905)
119879
1198762119890 (119905) + 119890(120579)
119879
1198762119890 (120579) (27)
Therefore
5(119905) le
1
2
1205912
3119890(119905)119879
1198762119890 (119905)
+ int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
(28)
This together with (26) implies
5(119905) +
6(119905) le 120591
2
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905) (29)
where
120572 (119905) = int
119905
119905minus1205913
119890 (120579) 119889120579 (30)
Then there holds
(119905) le 2119890(119905)119879
119875 119890 (119905)
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
+ 1205912
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905 minus 1205911)119879
1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(31)
It follows from (22) and Lemma 2 that
2119890(119905)119879
119875 119890 (119905)
= 2119890(119905)119879
119875
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
le 2
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 119890(119905)
119879
119875119860119894119895120573 (119905)
+
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [120576minus1
1119894119895119890(119905)119879
119875119872119894119895119872119879
119894119895119875119890 (119905)
+ 1205761119894119895120573(119905)119879
119879
119894119895119894119895120573 (119905)]
(32)
where
119860119894119895= [1198601198941198951198601119894119895
11986021198941198603119894]
120573 (119905) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119890(120572)119879]
119894119895= [119873119894119895111989421198943119894]
(33)
6 Mathematical Problems in Engineering
It also can be verified that
119890(119905)119879
1198752119890 (119905)
=
1
2
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) ℎ
119906(119904 (119905)) ℎV (119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905)119894119895]
119879
times 1198752[119860119906V +119872119906V119865119906 (119905) 119906V]
+ [119860119906V +119872119906V119865119906 (119905) 119906V]
119879
times 1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895] 120573 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905) 119894119895]
119879
1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895]
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860
119879
119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 1205762119894119895119879
119894119895119894119895] 120573 (119905)
1205911119890(119905)119879
1198761119890 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times 119860
119879
119894119895[(12059111198761)minus1
minus 120576minus1
3119894119895119872119894119895119872119879
119894119895]
minus1
119860119894119895
+ 1205763119894119895119879
119894119895119894119895120573 (119905)
(34)
Hence with the support of the above conditions we have
(119905) le 2119890(119905)119879
119875 119890 (119905) + 119890(119905)119879
1198752119890 (119905)
+ 1205911119890(119905)119879
1198761119890 (119905) + 119890(119905)
119879
(1198751+ 1205912
31198762) 119890 (119905)
minus 119890(119905 minus 1205911)119879
1198751119890 (119905 minus 120591
1)
minus 119890(119905 minus 1205912)119879
1198752119890 (119905 minus 120591
2) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
minus 120572(119905)119879
1198762120572 (119905) + 2119890(119905)
119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
=
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [Ξ119894119895+ 119860119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895
+119860119894119895(120591minus1
1119876minus1
1minus 120576minus1
3119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 120575119894119895119879
119894119895119894119895] 120573 (119905)
(35)
where
Ξ119894119895=
[
[
[
[
[
[
Σ1198941198951198751198601119894119895+ 1198771minus 119877119879
211987511986021198941198751198603119894
12059111198771
lowast minus1198751+ 1198772+ 119877119879
20 0 120591
11198772
lowast lowast minus1198752
0 0
lowast lowast lowast minus1198762
0
lowast lowast lowast lowast minus12059111198761
]
]
]
]
]
]
Σ119894119895= 119875119860119894119895+ 119860119879
119894119895119875 + 1198751+ 1205912
31198762minus 1198771minus 119877119879
1+ 120576minus1
1119894119895119875119872119894119895119872119879
119894119895119875
(36)
for 1 le 119894 le 119895 le 119903 On the other hand by applying the Schurcomplement formula to (20) we have that for 1 le 119894 lt 119895 le 119903
Γ119894119895lt 0 (37)
and from this and (7) we have that (119905) lt 0 for all 120573(119905) = 0Therefore the system in (13) is robustly asymptotically stable
This completes the proof
Next we will establish the robust119867infinperformance of the
system in (13) and (14) under the zero initial condition Tothis end we introduce
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904)] 119889119904 (38)
where 119905 gt 0 Noting the zero initial condition it can be shownthat for any nonzero 119908(119905) isinL
2[0infin) and 119905 gt 0
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904 minus 119881 (119905)
le int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904
(39)
where 119881(119904) is defined in (23) and then we have
(119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times 2119890(119905)119879
119875 [119860119894119895(119905) 119890 (119905) + 119860
1119894119895(119905) 119890 (119905 minus 120591
1)
+ 1198602119894(119905) 119890 (119905 minus 120591
2)
+1198603119894(119905) 120572 (119905) + 119863
119894119895119908 (119905)]
Mathematical Problems in Engineering 7
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905)
minus int
119905
119905minus1205911
119890(119905)119879
1198761119890 (120572) 119889120572 + 120591
2
3119890(119905)119879
1198762119890 (119905)
minus 120572(119905)119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905)119879
times 1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(40)
Then by noting (14) and using Lemma 2 we have
119911(119904)119879
119911 (119904) =
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) ℎ
119906(119904 (119904))
times ℎV (119904 (119904)) 120577(119904)119879
119864119879
119894119895119864119906V120577 (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
119864119879
119894119895119864119894119895120577 (119904)
(41)
It can be deduced that
119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
Π1119894119895120577 (119904)
=
119903
sum
119894=1
ℎ119894(119904 (119904))
2
120577(119904)119879
Ξ1119894119894120577 (119904)
+ 2
119903
sum
119894119895=1119894lt119895
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879Ξ1119894119895+ Ξ1119895119894
2
120577 (119904)
(42)
where
Ξ1119894119895=
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Σ1198941198951198751198601119894119895(119905) + 119877
1minus 119877119879
21198751198602119894(119905) 119875119860
3119894(119905) 119875119863
11989411989512059111198771
119864119879
119894119895119860119879
119894119895(119905) (1198752+ 12059111198761)
lowast 1198691
0 0 0 12059111198772119864119879
1119894119860119879
1119894119895(119905) (1198752+ 12059111198761)
lowast lowast minus1198752
0 0 0 0 119860119879
2119894(119905) (1198752+ 12059111198761)
lowast lowast lowast minus1198762
0 0 0 119860119879
3119894(119905) (1198752+ 12059111198761)
lowast lowast lowast lowast minus1205742
119868 0 0 119863119879
119894119895(1198752+ 12059111198761)
lowast lowast lowast lowast lowast minus12059111198762
0 0
lowast lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast lowast minus(1198752+ 12059111198761)119879
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
120577 (119904) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119908(119905)119879
119890(120572)119879]
119879
119864119894119895= [11986411989411989511986411198940 0 0 0]
(43)
for 1 le 119894 lt 119895 le 119903 Similar to the previous section applyingthe Schur complement formula to the LMI in (20) results inΞ1119894119895lt 0 1 le 119894 lt 119895 le 119903 which together with (39) gives 119869(119905) lt 0
for any nonzero 119908(119905) isin L2[0infin) and 119905 gt 0 Therefore we
have 1199112lt 120574119908
2
Now we are in a position to present a solution to therobust output feedback119867
infincontrol problem
Theorem4 Consider the uncertain fuzzy neutral delay systemin (1) and let 120574 gt 0 be a prescribed constant scalar The robust119867infin
problem is solvable if there exist matrices 119883 gt 0 119884 gt 01198761 1198762 Φ119894 Ψ119894 and Ω
119894and scalars 120598
119894119895 1 le 119894 le 119895 le 119903 such that
the following LMIs hold
[
[
[
[
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
Σ3119894119894
1198775
lowast minus119877111198772119894119894
0 0
lowast lowast 1198773119894119894
0 1198776119894119894
lowast lowast lowast minus1198774
0
lowast lowast lowast lowast minus1198777
]
]
]
]
]
]
lt 0 1 le 119894 le 119903 (44)
8 Mathematical Problems in Engineering
[
[
[
[
[
[
[
[
[
[
Σ119894119895+ Σ119895119894Σ1119894119895+ Σ1119895119894
Σ2119894119895
Σ4119894119895
Σ5119894119895
Σ6119894119895
0
lowast minus211987711
2119894119895
0 0 0 0
lowast lowast 3119894119895
0 0 0 6119894119895
lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast minus1198778
0 0
lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast minus119868
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 lt 119895 le 119903 (45)
[
minus119884 minus119868
minus119868 minus119883] lt 0 (46)
where
Θ119894119895
= [
119860119894119883 + 119883119860
119879
119894+ 119861119894Ψ119895+ Ψ119879
119895119861119879
119894119860119894+ Ω119879
119894
119860119879
119894+ Ω119894
119884119860119894+ 119860119879
119894119884 + Φ
119895119862119894+ 119862119879
119894Φ119879
119895
]
minus1198771minus 119877119879
1
Θ1119894119895= [
1198601119894119883 119860
1119894
0 1198841198601119894+ Φ1198951198621119894
] + 1198771minus 119877119879
2
Θ2119894= [
1198602119894
0
11988411986021198940] Θ
3119894= [
1198603119894
0
11988411986031198940]
Θ4119894119895= [
1198631119894
1198841198631119894+ Φ1198951198632119894
] Θ5119894119895= [
119883119864119879
119894+ Ψ119879
119895119866119879
119894
119864119879
119894
]
Θ6119894119895= [
119883119860119879
119894+ Ψ119879
119895119861119879
119894Ω119879
119895
119860119879
119894119860119879
119894119884 + 119862
119879
119894Φ119879
119895
]
Θ7119894119895= [
119872119894
0
119884119872119894Φ119895119872119894
]
Θ8119894119895= [
119883119873119879
0119894+ Ψ119879
119895119873119879
4119894119883119873119879
5119894
119873119879
0119894119873119879
5119894
] 1198693119894= [
119883119864119879
1119894
119864119879
1119894
]
1198694119894119895= [
1198831198601119894
0
1198601119894
1198601119894119884 + 119862
119879
1119894Φ119879
119895
]
1198695119894= [
119883119873119879
11198940
119873119879
11198940
] 1198696119894= [
119860119879
2119894119860119879
2119894119884
0 0
]
1198697119894= [
119860119879
3119894119860119879
3119894119884
0 0
]
1198698119894119895= [119863119879
1119894119863119879
1119894119884 + 119863
119879
2119894Φ119879
119895]
1198699= Π119879
2+ Π2minus 1198752minus 12059111198761
11986910119894119895
= [
119872119894
0
119884119872119894Φ119895119872119894
]
Σ119894119895=[
[
[
Θ119894119895
Θ1119894119895
Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
Σ1119894119895=[
[
[
Θ3119894Θ4119894119895
12059111198771
0 0 12059111198772
0 0 0
]
]
]
Σ2119894119895=[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895
0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895+ Θ5119895119894
Θ6119894119895+ Θ6119895119894
Θ7119894119895
Θ7119895119894
Θ8119894119895
Θ8119895119894
1198693119894+ 1198693119895
1198694119894119895+ 1198694119895119894
0 0 1198695119894
1198695119895
0 1198696119894+ 1198696119895
0 0 119879
2119894119879
2119895
]
]
]
]
Σ3119894119895=[
[
[
Π119879
11205913Π119879
1119879119894119895
0 0 0
0 0 0
]
]
]
119879119894119895= [
0
1198841198601119894+ Φ1198951198621119894
]
1198775=[
[
0 0 0
119879111987910
0 0 0
]
]
1198791= [
119909
0
] Σ4119894119895=[
[
[
1198792119894119895
1198793119894119895
1198794119894119895
1198795119894119895
0 0 0 0
0 0 0 0
]
]
]
1198792119894119895= [
(119862119894119909 minus 119862
119895119909)
119879
0
]
1198793119894119895= [
0
Φ119895minus Φ119894
] 1198794119894119895= [
(Ψ119895minus Ψ119894)
119879
0
]
1198795119894119895= [
0
119884119861119894minus 119884119861119895
]
Σ5119894119895=[
[
Π119879
11205913Π119879
11198791198941198950
0 0 0 1198791
0 0 0 0
]
]
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
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Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 3
for all 119905 Therefore for all 119905
ℎ119894(119904 (119905)) ge 0 119894 = 1 119903
119903
sum
119894=1
ℎ119894(119904 (119905)) = 1 forall119905
(7)
Now by the parallel distributed compensation (PDC) the fol-lowing full-order fuzzy dynamic output feedback controllerfor the fuzzy neutral system in (4) is considered
Control Rule 119894 if 1199041(119905) is 120583
1198941and sdot sdot sdot and 119904
119901(119905) is 120583
119894119901 then
(119905) = 119860
119896119894119909 (119905) + 119861
119896119894119910 (119905) (8)
119906 (119905) = 119862119896119894119909 (119905) 119894 = 1 2 119903 (9)
119909 (119905) = 0 119905 le 0 (10)
where 119909(119905) isin R119899 is the controller state and 119860119896119894 119861119896119894 and 119862
119896119894
are matrices to be determined later Then the overall fuzzyoutput feedback controller is given by
(119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) [119860
119896119894119909 (119905) + 119861
119896119894119910 (119905)] (11)
119906 (119905) =
119903
sum
119894=1
ℎ119894(119904 (119905)) 119862
119896119894119909 (119905) 119894 = 1 2 119903 (12)
From (4) and (11) one can obtain the closed-loop system as
119890 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)]
timesint
119905
119905minus1205913
119890 (119904) 119889119904 + 119863119894119895119908 (119905)
(13)
119911 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) [119864
119894119895119890 (119905) + 119864
1119894119890 (119905 minus 120591
1)]
(14)
where
119890 (119905) = [
(119905)
(119905)
]
119860119894119895= [
119860119894
119861119894119862119896119895
119861119896119895119862119894119860119896119895
]
Δ119860119894119895(119905) = [
Δ119860119894(119905) Δ119861
119894(119905) 119862119896119895
119861119896119895Δ119862119894(119905) 0
]
1198601119894119895= [
1198601119894
0
11986111989611989511986211198940] Δ119860
1119894(119905) = [
Δ1198601119894(119905) 0
0 0]
1198602119894= [
11986021198940
0 0] Δ119860
2119894(119905) = [
Δ1198602119894(119905) 0
0 0]
1198603119894= [
11986031198940
0 0] Δ119860
3119894(119905) = [
Δ1198603119894(119905) 0
0 0]
119863119894119895= [
1198631119894
1198611198961198951198632119894
] 119864119894119895= [119864119894119866119894119862119896119895]
1198641119894= [11986411198940]
(15)
Then the problem of robust fuzzy119867infincontrol problem to be
addressed in the previous is formulated as follows given anuncertain distributed delay fuzzy neutral system in (4) anda scalar 120574 gt 0 determine a dynamic output feedback fuzzycontroller in the form of (8) and (9) such that the closed-loopsystem in (13) and (14) is robustly asymptotically stable when119908(119905) = 0 and
1199112lt 120574119908
2 (16)
under zero-initial conditions for any nonzero 119908(119905) isin
L2[0infin) and all admissible uncertainties
3 Main Results
In this section an LMI approach will be developed tosolve the problem of robust output feedback 119867
infincontrol of
uncertain distributed delay fuzzy neutral systems formulatedin the previous section We first give the following resultswhich will be used in the proof of our main results
Lemma 1 (see [30]) LetADSW and119865 be realmatrices ofappropriate dimensions withW gt 0 and 119865 satisfying 119865119879119865 le 119868Then one has the following
(1) For any scalar 120598 gt 0 and vectors 119909 119910 isin R119899
2119909119879
DFS119910 le 120598minus1
119909119879
DD119879
119909 + 120598119910119879
S119879
S119910 (17)
(2) For any scalar 120598 gt 0 such thatW minus 120598DD119879 gt 0
(A +DFS)119879
Wminus1
(A +DFS)
le A119879
(W minus 120598DDT)
minus1
A + 120598minus1
S119879
S
(18)
4 Mathematical Problems in Engineering
Lemma 2 (see [31]) Given any matrices X Y and Z withappropriate dimensions such thatY gt 0 then one has
X119879
Z +Z119879
X le X119879
YX +Z119879
Yminus1
Z (19)
Theorem 3 The uncertain fuzzy neutral delay system in (13)and (14) is asymptotically stable and (16) is satisfied if thereexist matrices 119875 gt 0 119875
1gt 0 119875
2gt 0 119876
1gt 0 119876
2gt 0 119877
1 and
1198772and scalars 120598
119894119895gt 0 1 le 119894 le 119895 le 119903 such that the following
LMIs hold
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111198771
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059111198772119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(20)
whereΛ1119894119895
=
[
[
[
[
Π1119894119895+ Π1119895119894
Π2119894119895+ Π2119895119894
1198751198602119894+ 11987511986021198951198751198603119894+ 1198751198603119895
lowast 21198691
0 0
lowast lowast minus21198752
0
lowast lowast lowast minus21198762
]
]
]
]
Λ2119894119895=
[
[
[
[
[
119875119863119894119895+ 119875119863119895119894212059111198771119864119879
119894119895+ 119864119879
119895119894Γ119894119895+ Γ119895119894
0 212059111198772119864119879
1119894+ 119864119879
1119895Γ1119894119895+ Γ1119895119894
0 0 0 Γ2119894+ Γ2119895
0 0 0 Γ3119894+ Γ3119895
]
]
]
]
]
Λ3119894119895=
[
[
[
[
[
[
[
119875119872119894119895119875119872119895119894119873119879
119894119895119873119879
119895119894
0 0 119879
1119894119879
1119895
0 0 119879
2119894119879
2119895
0 0 119879
3119894119879
3119895
]
]
]
]
]
]
]
Λ4119894119895=
[
[
[
[
minus21205742
119868 0 0 Γ4119894119895+ Γ4119895119894
lowast minus212059111198761
0 0
lowast lowast minus2119868 0
lowast lowast lowast minus2119869119879
2
]
]
]
]
Λ5119894119895=
[
[
[
[
0 0 0 0
0 0 0 0
0 0 0 0
119869119879
2119872119894119895119869119879
21198721198951198940 0
]
]
]
]
Λ6119894119895=
[
[
[
[
[
minus120598119894119895119868 0 0 0
lowast minus120598119895119894119868 0 0
lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
Υ1= 119867119879
(1198751+ 1205912
31198762minus 1198771minus 119877119879
1)119867
Π1119894119895= Υ1+ 119875119860119894119895+ 119860119879
119894119895119875
Υ2= 119867119879
(1198771minus 119877119879
2) Π
2119894119895= Υ2+ 1198751198601119894119895
Γ119894119895= 119860119879
119894119895(1198752+ 12059111198761)
Γ1119894119895= 119860119879
1119894119895(1198752+ 12059111198761) Γ
2119894= 119860119879
2119894(1198752+ 12059111198761)
Γ3119894= 119860119879
3119894(1198752+ 12059111198761) Γ
4119894119895= 119863119879
119894119895(1198752+ 12059111198761)
1198691= minus1198751+ 1198772+ 119877119879
2 119869
2= 1198752+ 12059111198761
119872119894119895= [
119872119894
0
0 119861119896119895119872119894
] 119865119894(119905) = [
119865119894(119905) 0
0 119865119894(119905)]
119873119894119895= [
11987301198941198733119894119862119896119895
1198734119894
0
] 1119894= [
11987311198940
0 0]
2119894= [
11987321198940
0 0]
3119894= [
11987331198940
0 0]
(21)
Proof To establish the robust stability of the system in (13)we consider (13) with 119908(119905) equiv 0 that is
119890 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
(22)
Mathematical Problems in Engineering 5
For this system we define the following Lyapunov functioncandidate
119881 (119905) = 1198811(119905) + 119881
2(119905) + 119881
3(119905) + 119881
4(119905) + 119881
5(119905) + 119881
6(119905)
(23)
where
1198811(119905) = 119890(119905)
119879
119875119890 (119905)
1198812(119905) = int
119905
119905minus1205911
119890(119904)119879
1198751119890 (119904) 119889119904
1198813(119905) = int
119905
119905minus1205912
119890(119904)119879
1198752119890 (119904) 119889119904
1198814(119905) = int
0
minus1205911
int
119905
119905+120573
119890(120572)119879
1198761119890 (120572) 119889120572 119889120573
1198815(119905) = int
119905
119905minus1205913
[int
119905
119904
119890(120579)119879
119889120579]1198762[int
119905
119904
119890 (120579) 119889120579] 119889119904
1198816(119905) = int
1205913
0
119889119904int
119905
119905minus120573
(120579 minus 119905 + 120573) 119890(120572)119879
1198762119890 (120572) 119889120572 119889120573
(24)
The time derivative of 119881(119905) is given by
(119905) = 1(119905) +
2(119905) +
3(119905) +
4(119905) +
5(119905) +
6(119905)
(25)
where
1(119905) = 2119890(119905)
119879
119875 119890 (119905)
2(119905) = 119890(119905)
119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
3(119905) = 119890(119905)
119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
4(119905) = 120591
1119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
5(119905) = 2int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(119905)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
6(119905) =
1
2
1205912
3119890(119905)119879
1198762119890 (119905) minus int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
(26)
Now by Lemma 1 it can be shown that
2119890(119905)119879
1198762119890 (120579) le 119890(119905)
119879
1198762119890 (119905) + 119890(120579)
119879
1198762119890 (120579) (27)
Therefore
5(119905) le
1
2
1205912
3119890(119905)119879
1198762119890 (119905)
+ int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
(28)
This together with (26) implies
5(119905) +
6(119905) le 120591
2
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905) (29)
where
120572 (119905) = int
119905
119905minus1205913
119890 (120579) 119889120579 (30)
Then there holds
(119905) le 2119890(119905)119879
119875 119890 (119905)
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
+ 1205912
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905 minus 1205911)119879
1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(31)
It follows from (22) and Lemma 2 that
2119890(119905)119879
119875 119890 (119905)
= 2119890(119905)119879
119875
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
le 2
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 119890(119905)
119879
119875119860119894119895120573 (119905)
+
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [120576minus1
1119894119895119890(119905)119879
119875119872119894119895119872119879
119894119895119875119890 (119905)
+ 1205761119894119895120573(119905)119879
119879
119894119895119894119895120573 (119905)]
(32)
where
119860119894119895= [1198601198941198951198601119894119895
11986021198941198603119894]
120573 (119905) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119890(120572)119879]
119894119895= [119873119894119895111989421198943119894]
(33)
6 Mathematical Problems in Engineering
It also can be verified that
119890(119905)119879
1198752119890 (119905)
=
1
2
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) ℎ
119906(119904 (119905)) ℎV (119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905)119894119895]
119879
times 1198752[119860119906V +119872119906V119865119906 (119905) 119906V]
+ [119860119906V +119872119906V119865119906 (119905) 119906V]
119879
times 1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895] 120573 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905) 119894119895]
119879
1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895]
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860
119879
119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 1205762119894119895119879
119894119895119894119895] 120573 (119905)
1205911119890(119905)119879
1198761119890 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times 119860
119879
119894119895[(12059111198761)minus1
minus 120576minus1
3119894119895119872119894119895119872119879
119894119895]
minus1
119860119894119895
+ 1205763119894119895119879
119894119895119894119895120573 (119905)
(34)
Hence with the support of the above conditions we have
(119905) le 2119890(119905)119879
119875 119890 (119905) + 119890(119905)119879
1198752119890 (119905)
+ 1205911119890(119905)119879
1198761119890 (119905) + 119890(119905)
119879
(1198751+ 1205912
31198762) 119890 (119905)
minus 119890(119905 minus 1205911)119879
1198751119890 (119905 minus 120591
1)
minus 119890(119905 minus 1205912)119879
1198752119890 (119905 minus 120591
2) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
minus 120572(119905)119879
1198762120572 (119905) + 2119890(119905)
119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
=
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [Ξ119894119895+ 119860119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895
+119860119894119895(120591minus1
1119876minus1
1minus 120576minus1
3119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 120575119894119895119879
119894119895119894119895] 120573 (119905)
(35)
where
Ξ119894119895=
[
[
[
[
[
[
Σ1198941198951198751198601119894119895+ 1198771minus 119877119879
211987511986021198941198751198603119894
12059111198771
lowast minus1198751+ 1198772+ 119877119879
20 0 120591
11198772
lowast lowast minus1198752
0 0
lowast lowast lowast minus1198762
0
lowast lowast lowast lowast minus12059111198761
]
]
]
]
]
]
Σ119894119895= 119875119860119894119895+ 119860119879
119894119895119875 + 1198751+ 1205912
31198762minus 1198771minus 119877119879
1+ 120576minus1
1119894119895119875119872119894119895119872119879
119894119895119875
(36)
for 1 le 119894 le 119895 le 119903 On the other hand by applying the Schurcomplement formula to (20) we have that for 1 le 119894 lt 119895 le 119903
Γ119894119895lt 0 (37)
and from this and (7) we have that (119905) lt 0 for all 120573(119905) = 0Therefore the system in (13) is robustly asymptotically stable
This completes the proof
Next we will establish the robust119867infinperformance of the
system in (13) and (14) under the zero initial condition Tothis end we introduce
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904)] 119889119904 (38)
where 119905 gt 0 Noting the zero initial condition it can be shownthat for any nonzero 119908(119905) isinL
2[0infin) and 119905 gt 0
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904 minus 119881 (119905)
le int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904
(39)
where 119881(119904) is defined in (23) and then we have
(119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times 2119890(119905)119879
119875 [119860119894119895(119905) 119890 (119905) + 119860
1119894119895(119905) 119890 (119905 minus 120591
1)
+ 1198602119894(119905) 119890 (119905 minus 120591
2)
+1198603119894(119905) 120572 (119905) + 119863
119894119895119908 (119905)]
Mathematical Problems in Engineering 7
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905)
minus int
119905
119905minus1205911
119890(119905)119879
1198761119890 (120572) 119889120572 + 120591
2
3119890(119905)119879
1198762119890 (119905)
minus 120572(119905)119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905)119879
times 1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(40)
Then by noting (14) and using Lemma 2 we have
119911(119904)119879
119911 (119904) =
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) ℎ
119906(119904 (119904))
times ℎV (119904 (119904)) 120577(119904)119879
119864119879
119894119895119864119906V120577 (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
119864119879
119894119895119864119894119895120577 (119904)
(41)
It can be deduced that
119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
Π1119894119895120577 (119904)
=
119903
sum
119894=1
ℎ119894(119904 (119904))
2
120577(119904)119879
Ξ1119894119894120577 (119904)
+ 2
119903
sum
119894119895=1119894lt119895
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879Ξ1119894119895+ Ξ1119895119894
2
120577 (119904)
(42)
where
Ξ1119894119895=
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Σ1198941198951198751198601119894119895(119905) + 119877
1minus 119877119879
21198751198602119894(119905) 119875119860
3119894(119905) 119875119863
11989411989512059111198771
119864119879
119894119895119860119879
119894119895(119905) (1198752+ 12059111198761)
lowast 1198691
0 0 0 12059111198772119864119879
1119894119860119879
1119894119895(119905) (1198752+ 12059111198761)
lowast lowast minus1198752
0 0 0 0 119860119879
2119894(119905) (1198752+ 12059111198761)
lowast lowast lowast minus1198762
0 0 0 119860119879
3119894(119905) (1198752+ 12059111198761)
lowast lowast lowast lowast minus1205742
119868 0 0 119863119879
119894119895(1198752+ 12059111198761)
lowast lowast lowast lowast lowast minus12059111198762
0 0
lowast lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast lowast minus(1198752+ 12059111198761)119879
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
120577 (119904) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119908(119905)119879
119890(120572)119879]
119879
119864119894119895= [11986411989411989511986411198940 0 0 0]
(43)
for 1 le 119894 lt 119895 le 119903 Similar to the previous section applyingthe Schur complement formula to the LMI in (20) results inΞ1119894119895lt 0 1 le 119894 lt 119895 le 119903 which together with (39) gives 119869(119905) lt 0
for any nonzero 119908(119905) isin L2[0infin) and 119905 gt 0 Therefore we
have 1199112lt 120574119908
2
Now we are in a position to present a solution to therobust output feedback119867
infincontrol problem
Theorem4 Consider the uncertain fuzzy neutral delay systemin (1) and let 120574 gt 0 be a prescribed constant scalar The robust119867infin
problem is solvable if there exist matrices 119883 gt 0 119884 gt 01198761 1198762 Φ119894 Ψ119894 and Ω
119894and scalars 120598
119894119895 1 le 119894 le 119895 le 119903 such that
the following LMIs hold
[
[
[
[
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
Σ3119894119894
1198775
lowast minus119877111198772119894119894
0 0
lowast lowast 1198773119894119894
0 1198776119894119894
lowast lowast lowast minus1198774
0
lowast lowast lowast lowast minus1198777
]
]
]
]
]
]
lt 0 1 le 119894 le 119903 (44)
8 Mathematical Problems in Engineering
[
[
[
[
[
[
[
[
[
[
Σ119894119895+ Σ119895119894Σ1119894119895+ Σ1119895119894
Σ2119894119895
Σ4119894119895
Σ5119894119895
Σ6119894119895
0
lowast minus211987711
2119894119895
0 0 0 0
lowast lowast 3119894119895
0 0 0 6119894119895
lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast minus1198778
0 0
lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast minus119868
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 lt 119895 le 119903 (45)
[
minus119884 minus119868
minus119868 minus119883] lt 0 (46)
where
Θ119894119895
= [
119860119894119883 + 119883119860
119879
119894+ 119861119894Ψ119895+ Ψ119879
119895119861119879
119894119860119894+ Ω119879
119894
119860119879
119894+ Ω119894
119884119860119894+ 119860119879
119894119884 + Φ
119895119862119894+ 119862119879
119894Φ119879
119895
]
minus1198771minus 119877119879
1
Θ1119894119895= [
1198601119894119883 119860
1119894
0 1198841198601119894+ Φ1198951198621119894
] + 1198771minus 119877119879
2
Θ2119894= [
1198602119894
0
11988411986021198940] Θ
3119894= [
1198603119894
0
11988411986031198940]
Θ4119894119895= [
1198631119894
1198841198631119894+ Φ1198951198632119894
] Θ5119894119895= [
119883119864119879
119894+ Ψ119879
119895119866119879
119894
119864119879
119894
]
Θ6119894119895= [
119883119860119879
119894+ Ψ119879
119895119861119879
119894Ω119879
119895
119860119879
119894119860119879
119894119884 + 119862
119879
119894Φ119879
119895
]
Θ7119894119895= [
119872119894
0
119884119872119894Φ119895119872119894
]
Θ8119894119895= [
119883119873119879
0119894+ Ψ119879
119895119873119879
4119894119883119873119879
5119894
119873119879
0119894119873119879
5119894
] 1198693119894= [
119883119864119879
1119894
119864119879
1119894
]
1198694119894119895= [
1198831198601119894
0
1198601119894
1198601119894119884 + 119862
119879
1119894Φ119879
119895
]
1198695119894= [
119883119873119879
11198940
119873119879
11198940
] 1198696119894= [
119860119879
2119894119860119879
2119894119884
0 0
]
1198697119894= [
119860119879
3119894119860119879
3119894119884
0 0
]
1198698119894119895= [119863119879
1119894119863119879
1119894119884 + 119863
119879
2119894Φ119879
119895]
1198699= Π119879
2+ Π2minus 1198752minus 12059111198761
11986910119894119895
= [
119872119894
0
119884119872119894Φ119895119872119894
]
Σ119894119895=[
[
[
Θ119894119895
Θ1119894119895
Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
Σ1119894119895=[
[
[
Θ3119894Θ4119894119895
12059111198771
0 0 12059111198772
0 0 0
]
]
]
Σ2119894119895=[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895
0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895+ Θ5119895119894
Θ6119894119895+ Θ6119895119894
Θ7119894119895
Θ7119895119894
Θ8119894119895
Θ8119895119894
1198693119894+ 1198693119895
1198694119894119895+ 1198694119895119894
0 0 1198695119894
1198695119895
0 1198696119894+ 1198696119895
0 0 119879
2119894119879
2119895
]
]
]
]
Σ3119894119895=[
[
[
Π119879
11205913Π119879
1119879119894119895
0 0 0
0 0 0
]
]
]
119879119894119895= [
0
1198841198601119894+ Φ1198951198621119894
]
1198775=[
[
0 0 0
119879111987910
0 0 0
]
]
1198791= [
119909
0
] Σ4119894119895=[
[
[
1198792119894119895
1198793119894119895
1198794119894119895
1198795119894119895
0 0 0 0
0 0 0 0
]
]
]
1198792119894119895= [
(119862119894119909 minus 119862
119895119909)
119879
0
]
1198793119894119895= [
0
Φ119895minus Φ119894
] 1198794119894119895= [
(Ψ119895minus Ψ119894)
119879
0
]
1198795119894119895= [
0
119884119861119894minus 119884119861119895
]
Σ5119894119895=[
[
Π119879
11205913Π119879
11198791198941198950
0 0 0 1198791
0 0 0 0
]
]
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
4 Mathematical Problems in Engineering
Lemma 2 (see [31]) Given any matrices X Y and Z withappropriate dimensions such thatY gt 0 then one has
X119879
Z +Z119879
X le X119879
YX +Z119879
Yminus1
Z (19)
Theorem 3 The uncertain fuzzy neutral delay system in (13)and (14) is asymptotically stable and (16) is satisfied if thereexist matrices 119875 gt 0 119875
1gt 0 119875
2gt 0 119876
1gt 0 119876
2gt 0 119877
1 and
1198772and scalars 120598
119894119895gt 0 1 le 119894 le 119895 le 119903 such that the following
LMIs hold
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111198771
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059111198772119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(20)
whereΛ1119894119895
=
[
[
[
[
Π1119894119895+ Π1119895119894
Π2119894119895+ Π2119895119894
1198751198602119894+ 11987511986021198951198751198603119894+ 1198751198603119895
lowast 21198691
0 0
lowast lowast minus21198752
0
lowast lowast lowast minus21198762
]
]
]
]
Λ2119894119895=
[
[
[
[
[
119875119863119894119895+ 119875119863119895119894212059111198771119864119879
119894119895+ 119864119879
119895119894Γ119894119895+ Γ119895119894
0 212059111198772119864119879
1119894+ 119864119879
1119895Γ1119894119895+ Γ1119895119894
0 0 0 Γ2119894+ Γ2119895
0 0 0 Γ3119894+ Γ3119895
]
]
]
]
]
Λ3119894119895=
[
[
[
[
[
[
[
119875119872119894119895119875119872119895119894119873119879
119894119895119873119879
119895119894
0 0 119879
1119894119879
1119895
0 0 119879
2119894119879
2119895
0 0 119879
3119894119879
3119895
]
]
]
]
]
]
]
Λ4119894119895=
[
[
[
[
minus21205742
119868 0 0 Γ4119894119895+ Γ4119895119894
lowast minus212059111198761
0 0
lowast lowast minus2119868 0
lowast lowast lowast minus2119869119879
2
]
]
]
]
Λ5119894119895=
[
[
[
[
0 0 0 0
0 0 0 0
0 0 0 0
119869119879
2119872119894119895119869119879
21198721198951198940 0
]
]
]
]
Λ6119894119895=
[
[
[
[
[
minus120598119894119895119868 0 0 0
lowast minus120598119895119894119868 0 0
lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
Υ1= 119867119879
(1198751+ 1205912
31198762minus 1198771minus 119877119879
1)119867
Π1119894119895= Υ1+ 119875119860119894119895+ 119860119879
119894119895119875
Υ2= 119867119879
(1198771minus 119877119879
2) Π
2119894119895= Υ2+ 1198751198601119894119895
Γ119894119895= 119860119879
119894119895(1198752+ 12059111198761)
Γ1119894119895= 119860119879
1119894119895(1198752+ 12059111198761) Γ
2119894= 119860119879
2119894(1198752+ 12059111198761)
Γ3119894= 119860119879
3119894(1198752+ 12059111198761) Γ
4119894119895= 119863119879
119894119895(1198752+ 12059111198761)
1198691= minus1198751+ 1198772+ 119877119879
2 119869
2= 1198752+ 12059111198761
119872119894119895= [
119872119894
0
0 119861119896119895119872119894
] 119865119894(119905) = [
119865119894(119905) 0
0 119865119894(119905)]
119873119894119895= [
11987301198941198733119894119862119896119895
1198734119894
0
] 1119894= [
11987311198940
0 0]
2119894= [
11987321198940
0 0]
3119894= [
11987331198940
0 0]
(21)
Proof To establish the robust stability of the system in (13)we consider (13) with 119908(119905) equiv 0 that is
119890 (119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
(22)
Mathematical Problems in Engineering 5
For this system we define the following Lyapunov functioncandidate
119881 (119905) = 1198811(119905) + 119881
2(119905) + 119881
3(119905) + 119881
4(119905) + 119881
5(119905) + 119881
6(119905)
(23)
where
1198811(119905) = 119890(119905)
119879
119875119890 (119905)
1198812(119905) = int
119905
119905minus1205911
119890(119904)119879
1198751119890 (119904) 119889119904
1198813(119905) = int
119905
119905minus1205912
119890(119904)119879
1198752119890 (119904) 119889119904
1198814(119905) = int
0
minus1205911
int
119905
119905+120573
119890(120572)119879
1198761119890 (120572) 119889120572 119889120573
1198815(119905) = int
119905
119905minus1205913
[int
119905
119904
119890(120579)119879
119889120579]1198762[int
119905
119904
119890 (120579) 119889120579] 119889119904
1198816(119905) = int
1205913
0
119889119904int
119905
119905minus120573
(120579 minus 119905 + 120573) 119890(120572)119879
1198762119890 (120572) 119889120572 119889120573
(24)
The time derivative of 119881(119905) is given by
(119905) = 1(119905) +
2(119905) +
3(119905) +
4(119905) +
5(119905) +
6(119905)
(25)
where
1(119905) = 2119890(119905)
119879
119875 119890 (119905)
2(119905) = 119890(119905)
119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
3(119905) = 119890(119905)
119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
4(119905) = 120591
1119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
5(119905) = 2int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(119905)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
6(119905) =
1
2
1205912
3119890(119905)119879
1198762119890 (119905) minus int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
(26)
Now by Lemma 1 it can be shown that
2119890(119905)119879
1198762119890 (120579) le 119890(119905)
119879
1198762119890 (119905) + 119890(120579)
119879
1198762119890 (120579) (27)
Therefore
5(119905) le
1
2
1205912
3119890(119905)119879
1198762119890 (119905)
+ int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
(28)
This together with (26) implies
5(119905) +
6(119905) le 120591
2
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905) (29)
where
120572 (119905) = int
119905
119905minus1205913
119890 (120579) 119889120579 (30)
Then there holds
(119905) le 2119890(119905)119879
119875 119890 (119905)
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
+ 1205912
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905 minus 1205911)119879
1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(31)
It follows from (22) and Lemma 2 that
2119890(119905)119879
119875 119890 (119905)
= 2119890(119905)119879
119875
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
le 2
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 119890(119905)
119879
119875119860119894119895120573 (119905)
+
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [120576minus1
1119894119895119890(119905)119879
119875119872119894119895119872119879
119894119895119875119890 (119905)
+ 1205761119894119895120573(119905)119879
119879
119894119895119894119895120573 (119905)]
(32)
where
119860119894119895= [1198601198941198951198601119894119895
11986021198941198603119894]
120573 (119905) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119890(120572)119879]
119894119895= [119873119894119895111989421198943119894]
(33)
6 Mathematical Problems in Engineering
It also can be verified that
119890(119905)119879
1198752119890 (119905)
=
1
2
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) ℎ
119906(119904 (119905)) ℎV (119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905)119894119895]
119879
times 1198752[119860119906V +119872119906V119865119906 (119905) 119906V]
+ [119860119906V +119872119906V119865119906 (119905) 119906V]
119879
times 1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895] 120573 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905) 119894119895]
119879
1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895]
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860
119879
119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 1205762119894119895119879
119894119895119894119895] 120573 (119905)
1205911119890(119905)119879
1198761119890 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times 119860
119879
119894119895[(12059111198761)minus1
minus 120576minus1
3119894119895119872119894119895119872119879
119894119895]
minus1
119860119894119895
+ 1205763119894119895119879
119894119895119894119895120573 (119905)
(34)
Hence with the support of the above conditions we have
(119905) le 2119890(119905)119879
119875 119890 (119905) + 119890(119905)119879
1198752119890 (119905)
+ 1205911119890(119905)119879
1198761119890 (119905) + 119890(119905)
119879
(1198751+ 1205912
31198762) 119890 (119905)
minus 119890(119905 minus 1205911)119879
1198751119890 (119905 minus 120591
1)
minus 119890(119905 minus 1205912)119879
1198752119890 (119905 minus 120591
2) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
minus 120572(119905)119879
1198762120572 (119905) + 2119890(119905)
119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
=
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [Ξ119894119895+ 119860119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895
+119860119894119895(120591minus1
1119876minus1
1minus 120576minus1
3119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 120575119894119895119879
119894119895119894119895] 120573 (119905)
(35)
where
Ξ119894119895=
[
[
[
[
[
[
Σ1198941198951198751198601119894119895+ 1198771minus 119877119879
211987511986021198941198751198603119894
12059111198771
lowast minus1198751+ 1198772+ 119877119879
20 0 120591
11198772
lowast lowast minus1198752
0 0
lowast lowast lowast minus1198762
0
lowast lowast lowast lowast minus12059111198761
]
]
]
]
]
]
Σ119894119895= 119875119860119894119895+ 119860119879
119894119895119875 + 1198751+ 1205912
31198762minus 1198771minus 119877119879
1+ 120576minus1
1119894119895119875119872119894119895119872119879
119894119895119875
(36)
for 1 le 119894 le 119895 le 119903 On the other hand by applying the Schurcomplement formula to (20) we have that for 1 le 119894 lt 119895 le 119903
Γ119894119895lt 0 (37)
and from this and (7) we have that (119905) lt 0 for all 120573(119905) = 0Therefore the system in (13) is robustly asymptotically stable
This completes the proof
Next we will establish the robust119867infinperformance of the
system in (13) and (14) under the zero initial condition Tothis end we introduce
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904)] 119889119904 (38)
where 119905 gt 0 Noting the zero initial condition it can be shownthat for any nonzero 119908(119905) isinL
2[0infin) and 119905 gt 0
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904 minus 119881 (119905)
le int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904
(39)
where 119881(119904) is defined in (23) and then we have
(119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times 2119890(119905)119879
119875 [119860119894119895(119905) 119890 (119905) + 119860
1119894119895(119905) 119890 (119905 minus 120591
1)
+ 1198602119894(119905) 119890 (119905 minus 120591
2)
+1198603119894(119905) 120572 (119905) + 119863
119894119895119908 (119905)]
Mathematical Problems in Engineering 7
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905)
minus int
119905
119905minus1205911
119890(119905)119879
1198761119890 (120572) 119889120572 + 120591
2
3119890(119905)119879
1198762119890 (119905)
minus 120572(119905)119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905)119879
times 1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(40)
Then by noting (14) and using Lemma 2 we have
119911(119904)119879
119911 (119904) =
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) ℎ
119906(119904 (119904))
times ℎV (119904 (119904)) 120577(119904)119879
119864119879
119894119895119864119906V120577 (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
119864119879
119894119895119864119894119895120577 (119904)
(41)
It can be deduced that
119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
Π1119894119895120577 (119904)
=
119903
sum
119894=1
ℎ119894(119904 (119904))
2
120577(119904)119879
Ξ1119894119894120577 (119904)
+ 2
119903
sum
119894119895=1119894lt119895
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879Ξ1119894119895+ Ξ1119895119894
2
120577 (119904)
(42)
where
Ξ1119894119895=
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Σ1198941198951198751198601119894119895(119905) + 119877
1minus 119877119879
21198751198602119894(119905) 119875119860
3119894(119905) 119875119863
11989411989512059111198771
119864119879
119894119895119860119879
119894119895(119905) (1198752+ 12059111198761)
lowast 1198691
0 0 0 12059111198772119864119879
1119894119860119879
1119894119895(119905) (1198752+ 12059111198761)
lowast lowast minus1198752
0 0 0 0 119860119879
2119894(119905) (1198752+ 12059111198761)
lowast lowast lowast minus1198762
0 0 0 119860119879
3119894(119905) (1198752+ 12059111198761)
lowast lowast lowast lowast minus1205742
119868 0 0 119863119879
119894119895(1198752+ 12059111198761)
lowast lowast lowast lowast lowast minus12059111198762
0 0
lowast lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast lowast minus(1198752+ 12059111198761)119879
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
120577 (119904) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119908(119905)119879
119890(120572)119879]
119879
119864119894119895= [11986411989411989511986411198940 0 0 0]
(43)
for 1 le 119894 lt 119895 le 119903 Similar to the previous section applyingthe Schur complement formula to the LMI in (20) results inΞ1119894119895lt 0 1 le 119894 lt 119895 le 119903 which together with (39) gives 119869(119905) lt 0
for any nonzero 119908(119905) isin L2[0infin) and 119905 gt 0 Therefore we
have 1199112lt 120574119908
2
Now we are in a position to present a solution to therobust output feedback119867
infincontrol problem
Theorem4 Consider the uncertain fuzzy neutral delay systemin (1) and let 120574 gt 0 be a prescribed constant scalar The robust119867infin
problem is solvable if there exist matrices 119883 gt 0 119884 gt 01198761 1198762 Φ119894 Ψ119894 and Ω
119894and scalars 120598
119894119895 1 le 119894 le 119895 le 119903 such that
the following LMIs hold
[
[
[
[
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
Σ3119894119894
1198775
lowast minus119877111198772119894119894
0 0
lowast lowast 1198773119894119894
0 1198776119894119894
lowast lowast lowast minus1198774
0
lowast lowast lowast lowast minus1198777
]
]
]
]
]
]
lt 0 1 le 119894 le 119903 (44)
8 Mathematical Problems in Engineering
[
[
[
[
[
[
[
[
[
[
Σ119894119895+ Σ119895119894Σ1119894119895+ Σ1119895119894
Σ2119894119895
Σ4119894119895
Σ5119894119895
Σ6119894119895
0
lowast minus211987711
2119894119895
0 0 0 0
lowast lowast 3119894119895
0 0 0 6119894119895
lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast minus1198778
0 0
lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast minus119868
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 lt 119895 le 119903 (45)
[
minus119884 minus119868
minus119868 minus119883] lt 0 (46)
where
Θ119894119895
= [
119860119894119883 + 119883119860
119879
119894+ 119861119894Ψ119895+ Ψ119879
119895119861119879
119894119860119894+ Ω119879
119894
119860119879
119894+ Ω119894
119884119860119894+ 119860119879
119894119884 + Φ
119895119862119894+ 119862119879
119894Φ119879
119895
]
minus1198771minus 119877119879
1
Θ1119894119895= [
1198601119894119883 119860
1119894
0 1198841198601119894+ Φ1198951198621119894
] + 1198771minus 119877119879
2
Θ2119894= [
1198602119894
0
11988411986021198940] Θ
3119894= [
1198603119894
0
11988411986031198940]
Θ4119894119895= [
1198631119894
1198841198631119894+ Φ1198951198632119894
] Θ5119894119895= [
119883119864119879
119894+ Ψ119879
119895119866119879
119894
119864119879
119894
]
Θ6119894119895= [
119883119860119879
119894+ Ψ119879
119895119861119879
119894Ω119879
119895
119860119879
119894119860119879
119894119884 + 119862
119879
119894Φ119879
119895
]
Θ7119894119895= [
119872119894
0
119884119872119894Φ119895119872119894
]
Θ8119894119895= [
119883119873119879
0119894+ Ψ119879
119895119873119879
4119894119883119873119879
5119894
119873119879
0119894119873119879
5119894
] 1198693119894= [
119883119864119879
1119894
119864119879
1119894
]
1198694119894119895= [
1198831198601119894
0
1198601119894
1198601119894119884 + 119862
119879
1119894Φ119879
119895
]
1198695119894= [
119883119873119879
11198940
119873119879
11198940
] 1198696119894= [
119860119879
2119894119860119879
2119894119884
0 0
]
1198697119894= [
119860119879
3119894119860119879
3119894119884
0 0
]
1198698119894119895= [119863119879
1119894119863119879
1119894119884 + 119863
119879
2119894Φ119879
119895]
1198699= Π119879
2+ Π2minus 1198752minus 12059111198761
11986910119894119895
= [
119872119894
0
119884119872119894Φ119895119872119894
]
Σ119894119895=[
[
[
Θ119894119895
Θ1119894119895
Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
Σ1119894119895=[
[
[
Θ3119894Θ4119894119895
12059111198771
0 0 12059111198772
0 0 0
]
]
]
Σ2119894119895=[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895
0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895+ Θ5119895119894
Θ6119894119895+ Θ6119895119894
Θ7119894119895
Θ7119895119894
Θ8119894119895
Θ8119895119894
1198693119894+ 1198693119895
1198694119894119895+ 1198694119895119894
0 0 1198695119894
1198695119895
0 1198696119894+ 1198696119895
0 0 119879
2119894119879
2119895
]
]
]
]
Σ3119894119895=[
[
[
Π119879
11205913Π119879
1119879119894119895
0 0 0
0 0 0
]
]
]
119879119894119895= [
0
1198841198601119894+ Φ1198951198621119894
]
1198775=[
[
0 0 0
119879111987910
0 0 0
]
]
1198791= [
119909
0
] Σ4119894119895=[
[
[
1198792119894119895
1198793119894119895
1198794119894119895
1198795119894119895
0 0 0 0
0 0 0 0
]
]
]
1198792119894119895= [
(119862119894119909 minus 119862
119895119909)
119879
0
]
1198793119894119895= [
0
Φ119895minus Φ119894
] 1198794119894119895= [
(Ψ119895minus Ψ119894)
119879
0
]
1198795119894119895= [
0
119884119861119894minus 119884119861119895
]
Σ5119894119895=[
[
Π119879
11205913Π119879
11198791198941198950
0 0 0 1198791
0 0 0 0
]
]
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 5
For this system we define the following Lyapunov functioncandidate
119881 (119905) = 1198811(119905) + 119881
2(119905) + 119881
3(119905) + 119881
4(119905) + 119881
5(119905) + 119881
6(119905)
(23)
where
1198811(119905) = 119890(119905)
119879
119875119890 (119905)
1198812(119905) = int
119905
119905minus1205911
119890(119904)119879
1198751119890 (119904) 119889119904
1198813(119905) = int
119905
119905minus1205912
119890(119904)119879
1198752119890 (119904) 119889119904
1198814(119905) = int
0
minus1205911
int
119905
119905+120573
119890(120572)119879
1198761119890 (120572) 119889120572 119889120573
1198815(119905) = int
119905
119905minus1205913
[int
119905
119904
119890(120579)119879
119889120579]1198762[int
119905
119904
119890 (120579) 119889120579] 119889119904
1198816(119905) = int
1205913
0
119889119904int
119905
119905minus120573
(120579 minus 119905 + 120573) 119890(120572)119879
1198762119890 (120572) 119889120572 119889120573
(24)
The time derivative of 119881(119905) is given by
(119905) = 1(119905) +
2(119905) +
3(119905) +
4(119905) +
5(119905) +
6(119905)
(25)
where
1(119905) = 2119890(119905)
119879
119875 119890 (119905)
2(119905) = 119890(119905)
119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
3(119905) = 119890(119905)
119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
4(119905) = 120591
1119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
5(119905) = 2int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(119905)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
6(119905) =
1
2
1205912
3119890(119905)119879
1198762119890 (119905) minus int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
(26)
Now by Lemma 1 it can be shown that
2119890(119905)119879
1198762119890 (120579) le 119890(119905)
119879
1198762119890 (119905) + 119890(120579)
119879
1198762119890 (120579) (27)
Therefore
5(119905) le
1
2
1205912
3119890(119905)119879
1198762119890 (119905)
+ int
119905
119905minus1205913
(120579 minus 119905 + 1205913) 119890(120579)119879
1198762119890 (120579) 119889120579
minus [int
119905
119905minus1205913
119890(120579)119879
119889120579]1198762[int
119905
119905minus1205913
119890 (120579) 119889120579]
(28)
This together with (26) implies
5(119905) +
6(119905) le 120591
2
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905) (29)
where
120572 (119905) = int
119905
119905minus1205913
119890 (120579) 119889120579 (30)
Then there holds
(119905) le 2119890(119905)119879
119875 119890 (119905)
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
+ 1205912
3119890(119905)119879
1198762119890 (119905) minus 120572(119905)
119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905 minus 1205911)119879
1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(31)
It follows from (22) and Lemma 2 that
2119890(119905)119879
119875 119890 (119905)
= 2119890(119905)119879
119875
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [119860119894119895+ Δ119860119894119895(119905)] 119890 (119905)
+ [1198601119894119895+ Δ1198601119894(119905)] 119890 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] 119890 (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119890 (119904) 119889119904
le 2
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 119890(119905)
119879
119875119860119894119895120573 (119905)
+
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times [120576minus1
1119894119895119890(119905)119879
119875119872119894119895119872119879
119894119895119875119890 (119905)
+ 1205761119894119895120573(119905)119879
119879
119894119895119894119895120573 (119905)]
(32)
where
119860119894119895= [1198601198941198951198601119894119895
11986021198941198603119894]
120573 (119905) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119890(120572)119879]
119894119895= [119873119894119895111989421198943119894]
(33)
6 Mathematical Problems in Engineering
It also can be verified that
119890(119905)119879
1198752119890 (119905)
=
1
2
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) ℎ
119906(119904 (119905)) ℎV (119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905)119894119895]
119879
times 1198752[119860119906V +119872119906V119865119906 (119905) 119906V]
+ [119860119906V +119872119906V119865119906 (119905) 119906V]
119879
times 1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895] 120573 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905) 119894119895]
119879
1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895]
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860
119879
119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 1205762119894119895119879
119894119895119894119895] 120573 (119905)
1205911119890(119905)119879
1198761119890 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times 119860
119879
119894119895[(12059111198761)minus1
minus 120576minus1
3119894119895119872119894119895119872119879
119894119895]
minus1
119860119894119895
+ 1205763119894119895119879
119894119895119894119895120573 (119905)
(34)
Hence with the support of the above conditions we have
(119905) le 2119890(119905)119879
119875 119890 (119905) + 119890(119905)119879
1198752119890 (119905)
+ 1205911119890(119905)119879
1198761119890 (119905) + 119890(119905)
119879
(1198751+ 1205912
31198762) 119890 (119905)
minus 119890(119905 minus 1205911)119879
1198751119890 (119905 minus 120591
1)
minus 119890(119905 minus 1205912)119879
1198752119890 (119905 minus 120591
2) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
minus 120572(119905)119879
1198762120572 (119905) + 2119890(119905)
119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
=
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [Ξ119894119895+ 119860119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895
+119860119894119895(120591minus1
1119876minus1
1minus 120576minus1
3119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 120575119894119895119879
119894119895119894119895] 120573 (119905)
(35)
where
Ξ119894119895=
[
[
[
[
[
[
Σ1198941198951198751198601119894119895+ 1198771minus 119877119879
211987511986021198941198751198603119894
12059111198771
lowast minus1198751+ 1198772+ 119877119879
20 0 120591
11198772
lowast lowast minus1198752
0 0
lowast lowast lowast minus1198762
0
lowast lowast lowast lowast minus12059111198761
]
]
]
]
]
]
Σ119894119895= 119875119860119894119895+ 119860119879
119894119895119875 + 1198751+ 1205912
31198762minus 1198771minus 119877119879
1+ 120576minus1
1119894119895119875119872119894119895119872119879
119894119895119875
(36)
for 1 le 119894 le 119895 le 119903 On the other hand by applying the Schurcomplement formula to (20) we have that for 1 le 119894 lt 119895 le 119903
Γ119894119895lt 0 (37)
and from this and (7) we have that (119905) lt 0 for all 120573(119905) = 0Therefore the system in (13) is robustly asymptotically stable
This completes the proof
Next we will establish the robust119867infinperformance of the
system in (13) and (14) under the zero initial condition Tothis end we introduce
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904)] 119889119904 (38)
where 119905 gt 0 Noting the zero initial condition it can be shownthat for any nonzero 119908(119905) isinL
2[0infin) and 119905 gt 0
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904 minus 119881 (119905)
le int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904
(39)
where 119881(119904) is defined in (23) and then we have
(119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times 2119890(119905)119879
119875 [119860119894119895(119905) 119890 (119905) + 119860
1119894119895(119905) 119890 (119905 minus 120591
1)
+ 1198602119894(119905) 119890 (119905 minus 120591
2)
+1198603119894(119905) 120572 (119905) + 119863
119894119895119908 (119905)]
Mathematical Problems in Engineering 7
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905)
minus int
119905
119905minus1205911
119890(119905)119879
1198761119890 (120572) 119889120572 + 120591
2
3119890(119905)119879
1198762119890 (119905)
minus 120572(119905)119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905)119879
times 1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(40)
Then by noting (14) and using Lemma 2 we have
119911(119904)119879
119911 (119904) =
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) ℎ
119906(119904 (119904))
times ℎV (119904 (119904)) 120577(119904)119879
119864119879
119894119895119864119906V120577 (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
119864119879
119894119895119864119894119895120577 (119904)
(41)
It can be deduced that
119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
Π1119894119895120577 (119904)
=
119903
sum
119894=1
ℎ119894(119904 (119904))
2
120577(119904)119879
Ξ1119894119894120577 (119904)
+ 2
119903
sum
119894119895=1119894lt119895
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879Ξ1119894119895+ Ξ1119895119894
2
120577 (119904)
(42)
where
Ξ1119894119895=
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Σ1198941198951198751198601119894119895(119905) + 119877
1minus 119877119879
21198751198602119894(119905) 119875119860
3119894(119905) 119875119863
11989411989512059111198771
119864119879
119894119895119860119879
119894119895(119905) (1198752+ 12059111198761)
lowast 1198691
0 0 0 12059111198772119864119879
1119894119860119879
1119894119895(119905) (1198752+ 12059111198761)
lowast lowast minus1198752
0 0 0 0 119860119879
2119894(119905) (1198752+ 12059111198761)
lowast lowast lowast minus1198762
0 0 0 119860119879
3119894(119905) (1198752+ 12059111198761)
lowast lowast lowast lowast minus1205742
119868 0 0 119863119879
119894119895(1198752+ 12059111198761)
lowast lowast lowast lowast lowast minus12059111198762
0 0
lowast lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast lowast minus(1198752+ 12059111198761)119879
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
120577 (119904) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119908(119905)119879
119890(120572)119879]
119879
119864119894119895= [11986411989411989511986411198940 0 0 0]
(43)
for 1 le 119894 lt 119895 le 119903 Similar to the previous section applyingthe Schur complement formula to the LMI in (20) results inΞ1119894119895lt 0 1 le 119894 lt 119895 le 119903 which together with (39) gives 119869(119905) lt 0
for any nonzero 119908(119905) isin L2[0infin) and 119905 gt 0 Therefore we
have 1199112lt 120574119908
2
Now we are in a position to present a solution to therobust output feedback119867
infincontrol problem
Theorem4 Consider the uncertain fuzzy neutral delay systemin (1) and let 120574 gt 0 be a prescribed constant scalar The robust119867infin
problem is solvable if there exist matrices 119883 gt 0 119884 gt 01198761 1198762 Φ119894 Ψ119894 and Ω
119894and scalars 120598
119894119895 1 le 119894 le 119895 le 119903 such that
the following LMIs hold
[
[
[
[
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
Σ3119894119894
1198775
lowast minus119877111198772119894119894
0 0
lowast lowast 1198773119894119894
0 1198776119894119894
lowast lowast lowast minus1198774
0
lowast lowast lowast lowast minus1198777
]
]
]
]
]
]
lt 0 1 le 119894 le 119903 (44)
8 Mathematical Problems in Engineering
[
[
[
[
[
[
[
[
[
[
Σ119894119895+ Σ119895119894Σ1119894119895+ Σ1119895119894
Σ2119894119895
Σ4119894119895
Σ5119894119895
Σ6119894119895
0
lowast minus211987711
2119894119895
0 0 0 0
lowast lowast 3119894119895
0 0 0 6119894119895
lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast minus1198778
0 0
lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast minus119868
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 lt 119895 le 119903 (45)
[
minus119884 minus119868
minus119868 minus119883] lt 0 (46)
where
Θ119894119895
= [
119860119894119883 + 119883119860
119879
119894+ 119861119894Ψ119895+ Ψ119879
119895119861119879
119894119860119894+ Ω119879
119894
119860119879
119894+ Ω119894
119884119860119894+ 119860119879
119894119884 + Φ
119895119862119894+ 119862119879
119894Φ119879
119895
]
minus1198771minus 119877119879
1
Θ1119894119895= [
1198601119894119883 119860
1119894
0 1198841198601119894+ Φ1198951198621119894
] + 1198771minus 119877119879
2
Θ2119894= [
1198602119894
0
11988411986021198940] Θ
3119894= [
1198603119894
0
11988411986031198940]
Θ4119894119895= [
1198631119894
1198841198631119894+ Φ1198951198632119894
] Θ5119894119895= [
119883119864119879
119894+ Ψ119879
119895119866119879
119894
119864119879
119894
]
Θ6119894119895= [
119883119860119879
119894+ Ψ119879
119895119861119879
119894Ω119879
119895
119860119879
119894119860119879
119894119884 + 119862
119879
119894Φ119879
119895
]
Θ7119894119895= [
119872119894
0
119884119872119894Φ119895119872119894
]
Θ8119894119895= [
119883119873119879
0119894+ Ψ119879
119895119873119879
4119894119883119873119879
5119894
119873119879
0119894119873119879
5119894
] 1198693119894= [
119883119864119879
1119894
119864119879
1119894
]
1198694119894119895= [
1198831198601119894
0
1198601119894
1198601119894119884 + 119862
119879
1119894Φ119879
119895
]
1198695119894= [
119883119873119879
11198940
119873119879
11198940
] 1198696119894= [
119860119879
2119894119860119879
2119894119884
0 0
]
1198697119894= [
119860119879
3119894119860119879
3119894119884
0 0
]
1198698119894119895= [119863119879
1119894119863119879
1119894119884 + 119863
119879
2119894Φ119879
119895]
1198699= Π119879
2+ Π2minus 1198752minus 12059111198761
11986910119894119895
= [
119872119894
0
119884119872119894Φ119895119872119894
]
Σ119894119895=[
[
[
Θ119894119895
Θ1119894119895
Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
Σ1119894119895=[
[
[
Θ3119894Θ4119894119895
12059111198771
0 0 12059111198772
0 0 0
]
]
]
Σ2119894119895=[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895
0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895+ Θ5119895119894
Θ6119894119895+ Θ6119895119894
Θ7119894119895
Θ7119895119894
Θ8119894119895
Θ8119895119894
1198693119894+ 1198693119895
1198694119894119895+ 1198694119895119894
0 0 1198695119894
1198695119895
0 1198696119894+ 1198696119895
0 0 119879
2119894119879
2119895
]
]
]
]
Σ3119894119895=[
[
[
Π119879
11205913Π119879
1119879119894119895
0 0 0
0 0 0
]
]
]
119879119894119895= [
0
1198841198601119894+ Φ1198951198621119894
]
1198775=[
[
0 0 0
119879111987910
0 0 0
]
]
1198791= [
119909
0
] Σ4119894119895=[
[
[
1198792119894119895
1198793119894119895
1198794119894119895
1198795119894119895
0 0 0 0
0 0 0 0
]
]
]
1198792119894119895= [
(119862119894119909 minus 119862
119895119909)
119879
0
]
1198793119894119895= [
0
Φ119895minus Φ119894
] 1198794119894119895= [
(Ψ119895minus Ψ119894)
119879
0
]
1198795119894119895= [
0
119884119861119894minus 119884119861119895
]
Σ5119894119895=[
[
Π119879
11205913Π119879
11198791198941198950
0 0 0 1198791
0 0 0 0
]
]
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
6 Mathematical Problems in Engineering
It also can be verified that
119890(119905)119879
1198752119890 (119905)
=
1
2
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) ℎ
119906(119904 (119905)) ℎV (119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905)119894119895]
119879
times 1198752[119860119906V +119872119906V119865119906 (119905) 119906V]
+ [119860119906V +119872119906V119865119906 (119905) 119906V]
119879
times 1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895] 120573 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860119894119895+119872119894119895119865119894(119905) 119894119895]
119879
1198752[119860119894119895+119872119894119895119865119894(119905) 119894119895]
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [119860
119879
119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 1205762119894119895119879
119894119895119894119895] 120573 (119905)
1205911119890(119905)119879
1198761119890 (119905)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times 119860
119879
119894119895[(12059111198761)minus1
minus 120576minus1
3119894119895119872119894119895119872119879
119894119895]
minus1
119860119894119895
+ 1205763119894119895119879
119894119895119894119895120573 (119905)
(34)
Hence with the support of the above conditions we have
(119905) le 2119890(119905)119879
119875 119890 (119905) + 119890(119905)119879
1198752119890 (119905)
+ 1205911119890(119905)119879
1198761119890 (119905) + 119890(119905)
119879
(1198751+ 1205912
31198762) 119890 (119905)
minus 119890(119905 minus 1205911)119879
1198751119890 (119905 minus 120591
1)
minus 119890(119905 minus 1205912)119879
1198752119890 (119905 minus 120591
2) minus int
119905
119905minus1205911
119890(120572)119879
1198761119890 (120572) 119889120572
minus 120572(119905)119879
1198762120572 (119905) + 2119890(119905)
119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572
minus 2119890(119905)119879
1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
=
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905)) 120573(119905)
119879
times [Ξ119894119895+ 119860119894119895(119875minus1
2minus 120576minus1
2119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895
+119860119894119895(120591minus1
1119876minus1
1minus 120576minus1
3119894119895119872119894119895119872119879
119894119895)
minus1
119860119894119895+ 120575119894119895119879
119894119895119894119895] 120573 (119905)
(35)
where
Ξ119894119895=
[
[
[
[
[
[
Σ1198941198951198751198601119894119895+ 1198771minus 119877119879
211987511986021198941198751198603119894
12059111198771
lowast minus1198751+ 1198772+ 119877119879
20 0 120591
11198772
lowast lowast minus1198752
0 0
lowast lowast lowast minus1198762
0
lowast lowast lowast lowast minus12059111198761
]
]
]
]
]
]
Σ119894119895= 119875119860119894119895+ 119860119879
119894119895119875 + 1198751+ 1205912
31198762minus 1198771minus 119877119879
1+ 120576minus1
1119894119895119875119872119894119895119872119879
119894119895119875
(36)
for 1 le 119894 le 119895 le 119903 On the other hand by applying the Schurcomplement formula to (20) we have that for 1 le 119894 lt 119895 le 119903
Γ119894119895lt 0 (37)
and from this and (7) we have that (119905) lt 0 for all 120573(119905) = 0Therefore the system in (13) is robustly asymptotically stable
This completes the proof
Next we will establish the robust119867infinperformance of the
system in (13) and (14) under the zero initial condition Tothis end we introduce
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904)] 119889119904 (38)
where 119905 gt 0 Noting the zero initial condition it can be shownthat for any nonzero 119908(119905) isinL
2[0infin) and 119905 gt 0
119869 (119905) = int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904 minus 119881 (119905)
le int
119905
0
[119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)] 119889119904
(39)
where 119881(119904) is defined in (23) and then we have
(119905) =
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119905)) ℎ
119895(119904 (119905))
times 2119890(119905)119879
119875 [119860119894119895(119905) 119890 (119905) + 119860
1119894119895(119905) 119890 (119905 minus 120591
1)
+ 1198602119894(119905) 119890 (119905 minus 120591
2)
+1198603119894(119905) 120572 (119905) + 119863
119894119895119908 (119905)]
Mathematical Problems in Engineering 7
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905)
minus int
119905
119905minus1205911
119890(119905)119879
1198761119890 (120572) 119889120572 + 120591
2
3119890(119905)119879
1198762119890 (119905)
minus 120572(119905)119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905)119879
times 1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(40)
Then by noting (14) and using Lemma 2 we have
119911(119904)119879
119911 (119904) =
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) ℎ
119906(119904 (119904))
times ℎV (119904 (119904)) 120577(119904)119879
119864119879
119894119895119864119906V120577 (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
119864119879
119894119895119864119894119895120577 (119904)
(41)
It can be deduced that
119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
Π1119894119895120577 (119904)
=
119903
sum
119894=1
ℎ119894(119904 (119904))
2
120577(119904)119879
Ξ1119894119894120577 (119904)
+ 2
119903
sum
119894119895=1119894lt119895
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879Ξ1119894119895+ Ξ1119895119894
2
120577 (119904)
(42)
where
Ξ1119894119895=
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Σ1198941198951198751198601119894119895(119905) + 119877
1minus 119877119879
21198751198602119894(119905) 119875119860
3119894(119905) 119875119863
11989411989512059111198771
119864119879
119894119895119860119879
119894119895(119905) (1198752+ 12059111198761)
lowast 1198691
0 0 0 12059111198772119864119879
1119894119860119879
1119894119895(119905) (1198752+ 12059111198761)
lowast lowast minus1198752
0 0 0 0 119860119879
2119894(119905) (1198752+ 12059111198761)
lowast lowast lowast minus1198762
0 0 0 119860119879
3119894(119905) (1198752+ 12059111198761)
lowast lowast lowast lowast minus1205742
119868 0 0 119863119879
119894119895(1198752+ 12059111198761)
lowast lowast lowast lowast lowast minus12059111198762
0 0
lowast lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast lowast minus(1198752+ 12059111198761)119879
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
120577 (119904) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119908(119905)119879
119890(120572)119879]
119879
119864119894119895= [11986411989411989511986411198940 0 0 0]
(43)
for 1 le 119894 lt 119895 le 119903 Similar to the previous section applyingthe Schur complement formula to the LMI in (20) results inΞ1119894119895lt 0 1 le 119894 lt 119895 le 119903 which together with (39) gives 119869(119905) lt 0
for any nonzero 119908(119905) isin L2[0infin) and 119905 gt 0 Therefore we
have 1199112lt 120574119908
2
Now we are in a position to present a solution to therobust output feedback119867
infincontrol problem
Theorem4 Consider the uncertain fuzzy neutral delay systemin (1) and let 120574 gt 0 be a prescribed constant scalar The robust119867infin
problem is solvable if there exist matrices 119883 gt 0 119884 gt 01198761 1198762 Φ119894 Ψ119894 and Ω
119894and scalars 120598
119894119895 1 le 119894 le 119895 le 119903 such that
the following LMIs hold
[
[
[
[
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
Σ3119894119894
1198775
lowast minus119877111198772119894119894
0 0
lowast lowast 1198773119894119894
0 1198776119894119894
lowast lowast lowast minus1198774
0
lowast lowast lowast lowast minus1198777
]
]
]
]
]
]
lt 0 1 le 119894 le 119903 (44)
8 Mathematical Problems in Engineering
[
[
[
[
[
[
[
[
[
[
Σ119894119895+ Σ119895119894Σ1119894119895+ Σ1119895119894
Σ2119894119895
Σ4119894119895
Σ5119894119895
Σ6119894119895
0
lowast minus211987711
2119894119895
0 0 0 0
lowast lowast 3119894119895
0 0 0 6119894119895
lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast minus1198778
0 0
lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast minus119868
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 lt 119895 le 119903 (45)
[
minus119884 minus119868
minus119868 minus119883] lt 0 (46)
where
Θ119894119895
= [
119860119894119883 + 119883119860
119879
119894+ 119861119894Ψ119895+ Ψ119879
119895119861119879
119894119860119894+ Ω119879
119894
119860119879
119894+ Ω119894
119884119860119894+ 119860119879
119894119884 + Φ
119895119862119894+ 119862119879
119894Φ119879
119895
]
minus1198771minus 119877119879
1
Θ1119894119895= [
1198601119894119883 119860
1119894
0 1198841198601119894+ Φ1198951198621119894
] + 1198771minus 119877119879
2
Θ2119894= [
1198602119894
0
11988411986021198940] Θ
3119894= [
1198603119894
0
11988411986031198940]
Θ4119894119895= [
1198631119894
1198841198631119894+ Φ1198951198632119894
] Θ5119894119895= [
119883119864119879
119894+ Ψ119879
119895119866119879
119894
119864119879
119894
]
Θ6119894119895= [
119883119860119879
119894+ Ψ119879
119895119861119879
119894Ω119879
119895
119860119879
119894119860119879
119894119884 + 119862
119879
119894Φ119879
119895
]
Θ7119894119895= [
119872119894
0
119884119872119894Φ119895119872119894
]
Θ8119894119895= [
119883119873119879
0119894+ Ψ119879
119895119873119879
4119894119883119873119879
5119894
119873119879
0119894119873119879
5119894
] 1198693119894= [
119883119864119879
1119894
119864119879
1119894
]
1198694119894119895= [
1198831198601119894
0
1198601119894
1198601119894119884 + 119862
119879
1119894Φ119879
119895
]
1198695119894= [
119883119873119879
11198940
119873119879
11198940
] 1198696119894= [
119860119879
2119894119860119879
2119894119884
0 0
]
1198697119894= [
119860119879
3119894119860119879
3119894119884
0 0
]
1198698119894119895= [119863119879
1119894119863119879
1119894119884 + 119863
119879
2119894Φ119879
119895]
1198699= Π119879
2+ Π2minus 1198752minus 12059111198761
11986910119894119895
= [
119872119894
0
119884119872119894Φ119895119872119894
]
Σ119894119895=[
[
[
Θ119894119895
Θ1119894119895
Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
Σ1119894119895=[
[
[
Θ3119894Θ4119894119895
12059111198771
0 0 12059111198772
0 0 0
]
]
]
Σ2119894119895=[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895
0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895+ Θ5119895119894
Θ6119894119895+ Θ6119895119894
Θ7119894119895
Θ7119895119894
Θ8119894119895
Θ8119895119894
1198693119894+ 1198693119895
1198694119894119895+ 1198694119895119894
0 0 1198695119894
1198695119895
0 1198696119894+ 1198696119895
0 0 119879
2119894119879
2119895
]
]
]
]
Σ3119894119895=[
[
[
Π119879
11205913Π119879
1119879119894119895
0 0 0
0 0 0
]
]
]
119879119894119895= [
0
1198841198601119894+ Φ1198951198621119894
]
1198775=[
[
0 0 0
119879111987910
0 0 0
]
]
1198791= [
119909
0
] Σ4119894119895=[
[
[
1198792119894119895
1198793119894119895
1198794119894119895
1198795119894119895
0 0 0 0
0 0 0 0
]
]
]
1198792119894119895= [
(119862119894119909 minus 119862
119895119909)
119879
0
]
1198793119894119895= [
0
Φ119895minus Φ119894
] 1198794119894119895= [
(Ψ119895minus Ψ119894)
119879
0
]
1198795119894119895= [
0
119884119861119894minus 119884119861119895
]
Σ5119894119895=[
[
Π119879
11205913Π119879
11198791198941198950
0 0 0 1198791
0 0 0 0
]
]
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 7
+ 119890(119905)119879
1198751119890 (119905) minus 119890(119905 minus 120591
1)119879
1198751119890 (119905 minus 120591
1)
+ 119890(119905)119879
1198752119890 (119905) minus 119890(119905 minus 120591
2)119879
1198752119890 (119905 minus 120591
2)
+ 1205911119890(119905)119879
1198761119890 (119905)
minus int
119905
119905minus1205911
119890(119905)119879
1198761119890 (120572) 119889120572 + 120591
2
3119890(119905)119879
1198762119890 (119905)
minus 120572(119905)119879
1198762120572 (119905)
+ 2119890(119905)119879
1198771int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905)119879
times 1198771[119890 (119905) minus 119890 (119905 minus 120591
1)]
+ 2119890(119905 minus 1205911)119879
1198772int
119905
119905minus1205911
119890 (120572) 119889120572 minus 2119890(119905 minus 1205911)119879
times 1198772[119890 (119905) minus 119890 (119905 minus 120591
1)]
(40)
Then by noting (14) and using Lemma 2 we have
119911(119904)119879
119911 (119904) =
119903
sum
119894=1
119903
sum
119895=1
119903
sum
119906=1
119903
sum
V=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) ℎ
119906(119904 (119904))
times ℎV (119904 (119904)) 120577(119904)119879
119864119879
119894119895119864119906V120577 (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
119864119879
119894119895119864119894119895120577 (119904)
(41)
It can be deduced that
119911(119904)119879
119911 (119904) minus 1205742
119908(119904)119879
119908 (119904) + (119904)
le
119903
sum
119894=1
119903
sum
119895=1
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879
Π1119894119895120577 (119904)
=
119903
sum
119894=1
ℎ119894(119904 (119904))
2
120577(119904)119879
Ξ1119894119894120577 (119904)
+ 2
119903
sum
119894119895=1119894lt119895
ℎ119894(119904 (119904)) ℎ
119895(119904 (119904)) 120577(119904)
119879Ξ1119894119895+ Ξ1119895119894
2
120577 (119904)
(42)
where
Ξ1119894119895=
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Σ1198941198951198751198601119894119895(119905) + 119877
1minus 119877119879
21198751198602119894(119905) 119875119860
3119894(119905) 119875119863
11989411989512059111198771
119864119879
119894119895119860119879
119894119895(119905) (1198752+ 12059111198761)
lowast 1198691
0 0 0 12059111198772119864119879
1119894119860119879
1119894119895(119905) (1198752+ 12059111198761)
lowast lowast minus1198752
0 0 0 0 119860119879
2119894(119905) (1198752+ 12059111198761)
lowast lowast lowast minus1198762
0 0 0 119860119879
3119894(119905) (1198752+ 12059111198761)
lowast lowast lowast lowast minus1205742
119868 0 0 119863119879
119894119895(1198752+ 12059111198761)
lowast lowast lowast lowast lowast minus12059111198762
0 0
lowast lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast lowast minus(1198752+ 12059111198761)119879
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
120577 (119904) = [119890(119905)119879
119890(119905 minus 1205911)119879
119890(119905 minus 1205912)119879
120572(119905)119879
119908(119905)119879
119890(120572)119879]
119879
119864119894119895= [11986411989411989511986411198940 0 0 0]
(43)
for 1 le 119894 lt 119895 le 119903 Similar to the previous section applyingthe Schur complement formula to the LMI in (20) results inΞ1119894119895lt 0 1 le 119894 lt 119895 le 119903 which together with (39) gives 119869(119905) lt 0
for any nonzero 119908(119905) isin L2[0infin) and 119905 gt 0 Therefore we
have 1199112lt 120574119908
2
Now we are in a position to present a solution to therobust output feedback119867
infincontrol problem
Theorem4 Consider the uncertain fuzzy neutral delay systemin (1) and let 120574 gt 0 be a prescribed constant scalar The robust119867infin
problem is solvable if there exist matrices 119883 gt 0 119884 gt 01198761 1198762 Φ119894 Ψ119894 and Ω
119894and scalars 120598
119894119895 1 le 119894 le 119895 le 119903 such that
the following LMIs hold
[
[
[
[
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
Σ3119894119894
1198775
lowast minus119877111198772119894119894
0 0
lowast lowast 1198773119894119894
0 1198776119894119894
lowast lowast lowast minus1198774
0
lowast lowast lowast lowast minus1198777
]
]
]
]
]
]
lt 0 1 le 119894 le 119903 (44)
8 Mathematical Problems in Engineering
[
[
[
[
[
[
[
[
[
[
Σ119894119895+ Σ119895119894Σ1119894119895+ Σ1119895119894
Σ2119894119895
Σ4119894119895
Σ5119894119895
Σ6119894119895
0
lowast minus211987711
2119894119895
0 0 0 0
lowast lowast 3119894119895
0 0 0 6119894119895
lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast minus1198778
0 0
lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast minus119868
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 lt 119895 le 119903 (45)
[
minus119884 minus119868
minus119868 minus119883] lt 0 (46)
where
Θ119894119895
= [
119860119894119883 + 119883119860
119879
119894+ 119861119894Ψ119895+ Ψ119879
119895119861119879
119894119860119894+ Ω119879
119894
119860119879
119894+ Ω119894
119884119860119894+ 119860119879
119894119884 + Φ
119895119862119894+ 119862119879
119894Φ119879
119895
]
minus1198771minus 119877119879
1
Θ1119894119895= [
1198601119894119883 119860
1119894
0 1198841198601119894+ Φ1198951198621119894
] + 1198771minus 119877119879
2
Θ2119894= [
1198602119894
0
11988411986021198940] Θ
3119894= [
1198603119894
0
11988411986031198940]
Θ4119894119895= [
1198631119894
1198841198631119894+ Φ1198951198632119894
] Θ5119894119895= [
119883119864119879
119894+ Ψ119879
119895119866119879
119894
119864119879
119894
]
Θ6119894119895= [
119883119860119879
119894+ Ψ119879
119895119861119879
119894Ω119879
119895
119860119879
119894119860119879
119894119884 + 119862
119879
119894Φ119879
119895
]
Θ7119894119895= [
119872119894
0
119884119872119894Φ119895119872119894
]
Θ8119894119895= [
119883119873119879
0119894+ Ψ119879
119895119873119879
4119894119883119873119879
5119894
119873119879
0119894119873119879
5119894
] 1198693119894= [
119883119864119879
1119894
119864119879
1119894
]
1198694119894119895= [
1198831198601119894
0
1198601119894
1198601119894119884 + 119862
119879
1119894Φ119879
119895
]
1198695119894= [
119883119873119879
11198940
119873119879
11198940
] 1198696119894= [
119860119879
2119894119860119879
2119894119884
0 0
]
1198697119894= [
119860119879
3119894119860119879
3119894119884
0 0
]
1198698119894119895= [119863119879
1119894119863119879
1119894119884 + 119863
119879
2119894Φ119879
119895]
1198699= Π119879
2+ Π2minus 1198752minus 12059111198761
11986910119894119895
= [
119872119894
0
119884119872119894Φ119895119872119894
]
Σ119894119895=[
[
[
Θ119894119895
Θ1119894119895
Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
Σ1119894119895=[
[
[
Θ3119894Θ4119894119895
12059111198771
0 0 12059111198772
0 0 0
]
]
]
Σ2119894119895=[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895
0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895+ Θ5119895119894
Θ6119894119895+ Θ6119895119894
Θ7119894119895
Θ7119895119894
Θ8119894119895
Θ8119895119894
1198693119894+ 1198693119895
1198694119894119895+ 1198694119895119894
0 0 1198695119894
1198695119895
0 1198696119894+ 1198696119895
0 0 119879
2119894119879
2119895
]
]
]
]
Σ3119894119895=[
[
[
Π119879
11205913Π119879
1119879119894119895
0 0 0
0 0 0
]
]
]
119879119894119895= [
0
1198841198601119894+ Φ1198951198621119894
]
1198775=[
[
0 0 0
119879111987910
0 0 0
]
]
1198791= [
119909
0
] Σ4119894119895=[
[
[
1198792119894119895
1198793119894119895
1198794119894119895
1198795119894119895
0 0 0 0
0 0 0 0
]
]
]
1198792119894119895= [
(119862119894119909 minus 119862
119895119909)
119879
0
]
1198793119894119895= [
0
Φ119895minus Φ119894
] 1198794119894119895= [
(Ψ119895minus Ψ119894)
119879
0
]
1198795119894119895= [
0
119884119861119894minus 119884119861119895
]
Σ5119894119895=[
[
Π119879
11205913Π119879
11198791198941198950
0 0 0 1198791
0 0 0 0
]
]
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
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Stochastic AnalysisInternational Journal of
8 Mathematical Problems in Engineering
[
[
[
[
[
[
[
[
[
[
Σ119894119895+ Σ119895119894Σ1119894119895+ Σ1119895119894
Σ2119894119895
Σ4119894119895
Σ5119894119895
Σ6119894119895
0
lowast minus211987711
2119894119895
0 0 0 0
lowast lowast 3119894119895
0 0 0 6119894119895
lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast minus1198778
0 0
lowast lowast lowast lowast lowast minus119868 0
lowast lowast lowast lowast lowast lowast minus119868
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 lt 119895 le 119903 (45)
[
minus119884 minus119868
minus119868 minus119883] lt 0 (46)
where
Θ119894119895
= [
119860119894119883 + 119883119860
119879
119894+ 119861119894Ψ119895+ Ψ119879
119895119861119879
119894119860119894+ Ω119879
119894
119860119879
119894+ Ω119894
119884119860119894+ 119860119879
119894119884 + Φ
119895119862119894+ 119862119879
119894Φ119879
119895
]
minus1198771minus 119877119879
1
Θ1119894119895= [
1198601119894119883 119860
1119894
0 1198841198601119894+ Φ1198951198621119894
] + 1198771minus 119877119879
2
Θ2119894= [
1198602119894
0
11988411986021198940] Θ
3119894= [
1198603119894
0
11988411986031198940]
Θ4119894119895= [
1198631119894
1198841198631119894+ Φ1198951198632119894
] Θ5119894119895= [
119883119864119879
119894+ Ψ119879
119895119866119879
119894
119864119879
119894
]
Θ6119894119895= [
119883119860119879
119894+ Ψ119879
119895119861119879
119894Ω119879
119895
119860119879
119894119860119879
119894119884 + 119862
119879
119894Φ119879
119895
]
Θ7119894119895= [
119872119894
0
119884119872119894Φ119895119872119894
]
Θ8119894119895= [
119883119873119879
0119894+ Ψ119879
119895119873119879
4119894119883119873119879
5119894
119873119879
0119894119873119879
5119894
] 1198693119894= [
119883119864119879
1119894
119864119879
1119894
]
1198694119894119895= [
1198831198601119894
0
1198601119894
1198601119894119884 + 119862
119879
1119894Φ119879
119895
]
1198695119894= [
119883119873119879
11198940
119873119879
11198940
] 1198696119894= [
119860119879
2119894119860119879
2119894119884
0 0
]
1198697119894= [
119860119879
3119894119860119879
3119894119884
0 0
]
1198698119894119895= [119863119879
1119894119863119879
1119894119884 + 119863
119879
2119894Φ119879
119895]
1198699= Π119879
2+ Π2minus 1198752minus 12059111198761
11986910119894119895
= [
119872119894
0
119884119872119894Φ119895119872119894
]
Σ119894119895=[
[
[
Θ119894119895
Θ1119894119895
Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
Σ1119894119895=[
[
[
Θ3119894Θ4119894119895
12059111198771
0 0 12059111198772
0 0 0
]
]
]
Σ2119894119895=[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895
0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895+ Θ5119895119894
Θ6119894119895+ Θ6119895119894
Θ7119894119895
Θ7119895119894
Θ8119894119895
Θ8119895119894
1198693119894+ 1198693119895
1198694119894119895+ 1198694119895119894
0 0 1198695119894
1198695119895
0 1198696119894+ 1198696119895
0 0 119879
2119894119879
2119895
]
]
]
]
Σ3119894119895=[
[
[
Π119879
11205913Π119879
1119879119894119895
0 0 0
0 0 0
]
]
]
119879119894119895= [
0
1198841198601119894+ Φ1198951198621119894
]
1198775=[
[
0 0 0
119879111987910
0 0 0
]
]
1198791= [
119909
0
] Σ4119894119895=[
[
[
1198792119894119895
1198793119894119895
1198794119894119895
1198795119894119895
0 0 0 0
0 0 0 0
]
]
]
1198792119894119895= [
(119862119894119909 minus 119862
119895119909)
119879
0
]
1198793119894119895= [
0
Φ119895minus Φ119894
] 1198794119894119895= [
(Ψ119895minus Ψ119894)
119879
0
]
1198795119894119895= [
0
119884119861119894minus 119884119861119895
]
Σ5119894119895=[
[
Π119879
11205913Π119879
11198791198941198950
0 0 0 1198791
0 0 0 0
]
]
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 9
Σ6119894119895=[
[
119879119895119894
0 11987941198792
0 11987910 0
0 0 0 0
]
]
11987711= diag (119876
21205742
119868 119881) 1198772119894119895=[
[
0 11986971198940 119879
3119894
0 1198698119894119895
0 0
0 0 0 0
]
]
2119894119895=[
[
0 1198697119894+ 1198697119895
0 0 119879
3119894119879
3119895
0 1198698119894119895+ 1198698119895119894
0 0 0 0
0 0 0 0 0 0
]
]
1198773119894119895=
[
[
[
[
minus119868 0 0 0
lowast minus119869911986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
3119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2119869911986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
1198774= diag (119875minus1
1119876minus1
2119868)
1198776119894119895=
[
[
[
[
0 0 0
0 0 1198796119894119895
0 0 0
0 0 0
]
]
]
]
6119894119895=
[
[
[
[
[
[
[
[
0 0
1198795119894119895
1198793119894119895
0 0
0 0
0 0
0 0
]
]
]
]
]
]
]
]
1198796119894119895= [
0
119884119860119879
1119894+ Φ1198951198621119894
]
1198777= diag (119868 119868 119868) 119877
8= diag (1
2
119875minus1
1
1
2
119876minus1
2119868 119868)
Π1= [
119883 119868
119883 0] Π
2= [
119883 119868
119883 0]
(47)
Furthermore a desired robust dynamic output feedback con-troller is given in the form of (11) with parameters as follows
119860119870119894= (119883minus1
minus 119884)
minus1
(Ω119894minus 119884119860119894119883 minus 119884119861
119894Ψ119894minus Φ119894119862119894119883)119883minus1
119861119870119894= (119883minus1
minus 119884)
minus1
Φ119894 119862119870119894= Ψ119894119883minus1
1 le 119894 le 119903
(48)
Proof Applying the Schur complements formula to (44) and(45) and using Lemma 2 result in
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 1198773119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 3119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(49)
where
Σ119894119895=
[
[
[
[
Θ119894119895+ Π119879
11198751Π1+ (1205913Π1)119879
1198762(1205913Π1) Θ1119894119895+ [
0 0
(1198841198601119894+ Φ1198951198621119894)119883 0
] Θ2119894
lowast minus119880 + 1198772+ 119877119879
20
lowast lowast minus1198752
]
]
]
]
Σ2119894119895=
[
[
[
[
Θ5119894119895
Θ6119894119895
Θ7119894119895
Θ8119894119895
1198693119894
1198694119894119895+ [
0 119883 (1198601119894119884 + 119862
119879
1119894Φ119879
119895)
0 0
] 0 1198695119894
0 1198696119894
0 119879
2119894
]
]
]
]
Σ119894119895= Σ119894119895+ Σ119895119894+
[
[
[
[
[
[
0 (119862119894119883 minus 119862
119895119883)
119879
(Φ119895minus Φ119894)
119879
+ (Ψ119895minus Ψ119894)
119879
(119884119861119894minus 119884119861119895)
119879
0 0 0
lowast 0 0 0 0
lowast lowast 0 0 0
lowast lowast lowast 0 0
lowast lowast lowast lowast 0
]
]
]
]
]
]
Σ2119894119895= Σ2119894119895+[
[
0 (Ψ119879
119895minus Ψ119879
119894) (119861119879
119894119884 minus 119861
119879
119895119884) + (119883119862
119879
119894minus 119883119862119879
119895) (Φ119879
119895minus Φ119879
119894) 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
]
]
(50)
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
10 Mathematical Problems in Engineering
Note that
Π119879
2+ Π2minus 1198752minus 12059111198761le Π119879
2(1198752+ 12059111198761)minus1
Π2 (51)
Then by this inequality it follows from (49) that
[
[
Σ119894119894Σ1119894119894
Σ2119894119894
lowast minus119877111198772119894119894
lowast lowast 3119894119894
]
]
lt 0 1 le 119894 le 119903
[
[
[
Σ119894119895Σ1119894119895+ Σ1119895119894
Σ2119894119895
lowast minus211987711
2119894119895
lowast lowast 1198773119894119895
]
]
]
lt 0 1 le 119894 lt 119895 le 119903
(52)
where
3119894119895=
[
[
[
[
[
minus119868 0 0 0
lowast minusΠ119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
0
lowast lowast minus120598119894119895119868 0
lowast lowast lowast minus120598minus1
119894119895119868
]
]
]
]
]
1198773119894119895=
[
[
[
[
[
[
[
[
[
minus2119868 0 0 0 0 0
lowast minus2Π119879
2(1198752+ 12059111198761)minus1
Π211986910119894119895
11986910119895119894
0 0
lowast lowast minus120598119894119895119868 0 0 0
lowast lowast lowast minus120598119895119894119868 0 0
lowast lowast lowast lowast minus120598minus1
119894119895119868 0
lowast lowast lowast lowast lowast minus120598minus1
119895119894119868
]
]
]
]
]
]
]
]
]
(53)
Now set = Π
2Πminus1
1 (54)
Then by (46) it can be verified that gt 0 Noting theparameters in (48) and pre- and postmultiplying (3) by
diag (Πminus1198791 Πminus119879
1 119868 119868 119868 Π
minus119879
1 119868 Πminus119879
2 119868 119868) (55)
and its transpose respectively we have
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
[
Π1119894119894
Π2119894119894
11987511986021198941198751198603119894119875119863119894119894
12059111
119864119879
119894119894Γ119894119894
119875119872119894119894
119873119879
119894119894
lowast 1198691
0 0 0 12059112119864119879
1119894Γ1119894119894
0 0
lowast lowast minus1198752
0 0 0 0 Γ2119894
0 0
lowast lowast lowast minus1198762
0 0 0 Γ3119894
0 0
lowast lowast lowast lowast minus1205742
119868 0 0 Γ4119894119894
0 0
lowast lowast lowast lowast lowast minus12059111198761
0 0 0 0
lowast lowast lowast lowast lowast lowast minus119868 0 0 0
lowast lowast lowast lowast lowast lowast lowast minus119869119879
2119869119879
2119872119894119894
0
lowast lowast lowast lowast lowast lowast lowast lowast minus120598119894119894119868 0
lowast lowast lowast lowast lowast lowast lowast lowast lowast minus120598minus1
119894119894119868
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
lt 0 1 le 119894 le 119903
[
[
Λ1119894119895
Λ2119894119895
Λ3119894119895
lowast Λ4119894119895
Λ5119894119895
lowast lowast Λ6119894119895
]
]
lt 0 1 le 119894 lt 119895 le 119903
(56)
where
Λ1= 119867119879
(1198751+ 1205912
31198762minus 1minus 119879
1)119867
Π1119894119895= Λ1+ 119875119860119894119895+ 119860119879
119894119895119875
Λ2= 119867119879
(1minus 119879
2)
Π2119894119895= Λ2+ 1198751198601119894119895
1= Π119879
11198771Π1
(57)
Finally byTheorem 3 the desired result follows immediately
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 11
Remark 5 Theorem 4 provides a sufficient condition for thesolvability of the robust119867
infinoutput feedback control problem
for uncertain fuzzy neutral systems with both discrete anddistributed delays It is worth pointing out that the result inTheorem 4 can be readily extended to the case with multipledelays
Remark 6 In Theorem 4 if we set 11986021= 0 119872
119894= 0 and
1198732119894= 0 (119894 = 1 2 119903) then the results in [32] are included
in our paper Also the controller design method in our papercan be the reference for designing the observer-based outputfeedback controllers and so forth
4 Simulation Example
In this section we provide one example to illustrate theoutput feedback 119867
infincontroller design approach developed
in this paperThe uncertain fuzzy system with distributed delays con-
sidered in this example is with two rulesPlant Rule 1 if 119909
1(119905) is 120583
1 then
(119905) = [1198601+ Δ1198601(119905)] 119909 (119905) + [119860
11+ Δ11986011(119905)] 119909 (119905 minus 120591
1)
+ [11986021+ Δ11986021(119905)] (119905 minus 120591
2)
+ [11986031+ Δ11986031(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198611+ Δ1198611(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) = [1198621+ Δ1198621(119905)] 119909 (119905) + 119862
11119909 (119905 minus 120591
1) + 11986321119908 (119905)
119911 (119905) = 1198641119909 (119905) + 119864
11119909 (119905 minus 120591
1) + 1198661119906 (119905)
(58)
Plant Rule 2 if 1199091(119905) is 120583
2 then
(119905) = [1198602+ Δ1198602(119905)] 119909 (119905) + [119860
12+ Δ11986012(119905)] 119909 (119905 minus 120591
1)
+ [11986022+ Δ11986022(119905)] (119905 minus 120591
2)
+ [11986032+ Δ11986032(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [1198612+ Δ1198612(119905)] 119906 (119905) + 119863
12119908 (119905)
119910 (119905) = [1198622+ Δ1198622(119905)] 119909 (119905) + 119862
12119909 (119905 minus 120591
1) + 11986322119908 (119905)
119911 (119905) = 1198642119909 (119905) + 119864
12119909 (119905 minus 120591
1) + 1198662119906 (119905)
(59)
where
1198601= [
005 0
minus02 minus006] 119860
11= [
005 002
minus005 001]
11986021= [
minus0002 0008
0006 0]
11986031= [
minus005 008
006 0] 119861
1= [
001 0
003 006]
1198621= [
minus003 minus01
02 002] 119862
11= [
minus003 minus001
002 002]
11986311= [
003
006] 119863
21= [
minus05
0]
1198641= [minus02 0] 119864
11= [minus002 0]
1198661= [0 minus003]
1198602= [
minus005 0
minus02 minus006] 119860
12= [
minus005 02
minus05 001]
11986022= [
0008 minus0002
minus0003 002]
11986032= [
005 minus02
minus03 02] 119861
2= [
001 minus008
002 005]
1198622= [
003 minus01
02 002]
11986212= [
minus003 minus001
002 02] 119863
12= [
minus001
002]
11986322= [
minus03
0]
1198642= [minus001 0] 119864
12= [minus001 0]
1198662= [0 002]
(60)
and Δ119860119894(119905) Δ119860
1119894(119905) Δ119860
2119894(119905) Δ119860
3119894(119905) Δ119861
119894(119905) Δ119862
119894(119905) (119894 =
1 2) can be represented in the form of (2) and (3) with
1198721= [
minus002
0] 119873
01= [minus02 01]
11987311= [minus02 02]
11987321= [minus002 001] 119873
31= [minus002 001]
11987341= [minus002 001]
11987351= [minus002 001] 119872
2= [
003
0]
11987302= 11987301 119873
12= 11987311
11987322= 11987321 119873
32= 11987331
11987342= 11987341 119873
52= 11987351
(61)
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
12 Mathematical Problems in Engineering
Then the final outputs of the fuzzy systems are inferred asfollows
(119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119860119894+ Δ119860119894(119905)] 119909 (119905)
+ [1198601119894+ Δ1198601119894(119905)] 119909 (119905 minus 120591
1)
+ [1198602119894+ Δ1198602119894(119905)] (119905 minus 120591
2)
+ [1198603119894+ Δ1198603119894(119905)] int
119905
119905minus1205913
119909 (119904) 119889119904
+ [119861119894+ Δ119861119894(119905)] 119906 (119905) + 119863
1119894119908 (119905)
119910 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905))
times [119862119894+ Δ119862119894(119905)] 119909 (119905)
+1198621119894119909 (119905 minus 120591
1) + 1198632119894119908 (119905)
119911 (119905) =
2
sum
119894=1
ℎ119894(119904 (119905)) 119864
119894119909 (119905) + 119864
1119894119909 (119905 minus 120591
1) + 119866119894119906 (119905)
(62)
where
ℎ1(1199091(119905)) =
1
3
for 1199091lt minus1
2
3
+
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
1 for 1199091gt 1
ℎ2(1199091(119905)) =
2
3
for 1199091lt minus1
1
3
minus
1
3
1199091 for 100381610038161003816
10038161199091
1003816100381610038161003816le 1
0 for 1199091gt 1
(63)
In this example we choose the119867infin
performance level 120574 = 3In order to design a fuzzy119867
infinoutput feedback controller
for the T-S model we first choose the initial condition thatis 119909(0) = [03 minus01]
119879 and the disturbance input 119908(119905) isassumed to be
119908 (119905) =
1
119905 + 01
119905 ge 0 (64)
Then solving the LMIs in (44) (45) and (46) we obtain thesolution as follows
119883 = [
09868 06071
06071 13948]
119884 = [
129348 01814
01814 63384]
Ω1= [
minus16069 minus16112
minus00417 minus32117]
Ω2= [
82076 minus37031
minus58461 53292]
Φ1= [
31848 00758
minus01899 minus25282]
Φ2= [
20547 01643
minus02930 minus07113]
1205951= [
minus1401869 minus278001
57867 minus778562]
1205952= [
minus791853 minus882601
minus881012 minus957242]
(65)
Now by Theorem 4 a desired fuzzy output feedback con-troller can be constructed as in (11) and (12) with
1198601198961= [
873277 minus680397
1399266 minus1072394]
1198601198962= [
minus249856 158880
111983 minus122840]
1198611198961= [
109115 minus03725
165830 19936]
1198611198962= [
14642 minus00212
31940 05922]
1198621198961= [
minus160423 127577
202647 minus148918]
1198621198962= [
142596 minus104929
32304 minus11934]
(66)
With the output feedback fuzzy controller the simulationresults of the state response of the nonlinear system are givenin Figure 1 Figure 2 shows the control input while Figures3 and 4 present the corresponding measured output and thecontrolled output respectively
From these simulation results it can be seen that thedesigned fuzzy output feedback controller ensures the robustasymptotic stability of the uncertain fuzzy neutral system andguarantees a prescribed119867
infinperformance level
5 Conclusion and Future Work
The problem of delay-dependent robust output feedback119867infin
control for uncertain T-S fuzzy neutral systems with param-eter uncertainties and distributed delays has been studied In
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 13
x1(t)
x2(t)
0 10 20 30 40 50 60minus02
0
02
04
06
08
1
12
Time (s)
Stat
e res
pons
ex(t)
Figure 1 State response 1199091(119905) (continuous line) and 119909
2(119905) (dashed
line)
0 10 20 30 40 50 60minus100
minus50
0
50
100
150
200
Time (s)
Con
trol i
nput
u(t)
u1(t)
u2(t)
Figure 2 Control input 1199061(119905) (continuous line) and 119906
2(119905) (dashed
line)
terms of LMIs a sufficient condition for the existence of afull-order fuzzy dynamic output feedback controller whichrobustly stabilizes the uncertain fuzzy neutral delay systemsand guarantees a prescribed level on disturbance attenuationhas been obtained
Future work will mainly cover the problem of robustoutput feedback 119867
infincontrol for uncertain fractional-order
(FO) T-S fuzzy neutral systems with state and distributeddelays Firstly investigate the robust output feedback 119867
infin
control for FOT-S fuzzy systemswith state delays then studythe robust output feedback 119867
infincontrol for FO T-S fuzzy
systems with both state and distributed delays finally obtainthe results about the robust output feedback 119867
infincontrol
for uncertain FO T-S fuzzy neutral systems with state anddistributed delays
Acknowledgments
This work is supported by the National Natural ScienceFoundation of China under Grant 61203047 the China
y1(t)
y2(t)
0 10 20 30 40 50 60minus1
0
1
2
3
4
5
Time (s)
Mea
sure
d ou
tput
y(t)
Figure 3 Measured output 1199101(119905) (continuous line) and 119910
2(119905)
(dashed line)
z1(t)
z2(t)
0 10 20 30 40 50 60Time (s)
minus40
minus20
0
20
40
60
80
100
120
Con
trolle
d ou
tput
z(t)
Figure 4 Controlled output 1199111(119905) (continuous line) and 119911
2(119905)
(dashed line)
Postdoctoral Science Foundation under Grant 2013T60670and the Projects of International Technology Cooperationunder Grant 2011DFA10440
References
[1] T Wang S Tong and Y Li ldquoRobust adaptive fuzzy controlfor nonlinear system with dynamic uncertainties based onbacksteppingrdquo International Journal of Innovative ComputingInformation and Control vol 5 no 9 pp 2675ndash2688 2009
[2] S Tong and Y Li ldquoObserver-based fuzzy adaptive control forstrict-feedback nonlinear systemsrdquo Fuzzy Sets and Systems vol160 no 12 pp 1749ndash1764 2009
[3] Y Li S Tong and T Li ldquoAdaptive fuzzy output feedback controlof uncertain nonlinear systems with unknown backlash-likehysteresisrdquo Information Sciences vol 198 pp 130ndash146 2012
[4] S Tong X He and H Zhang ldquoA combined backstepping andsmall-gain approach to robust adaptive fuzzy output feedbackcontrolrdquo IEEE Transactions on Fuzzy Systems vol 17 no 5 pp1059ndash1069 2009
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
14 Mathematical Problems in Engineering
[5] T Takagi and M Sugeno ldquoFuzzy identification of systems andits applications to modeling and controlrdquo IEEE Transactions onSystems Man and Cybernetics vol 15 no 1 pp 116ndash132 1985
[6] K Tanaka and M Sano ldquoOn the concepts of regulator andobserver of fuzzy control systemsrdquo inProceedings of the 3rd IEEEInternational Conference on Fuzzy Systems pp 767ndash772 1994
[7] J Yoneyama M Nishikawa H Katayama and A IchikawaldquoOutput stabilization of Takagi-Sugeno fuzzy systemsrdquo FuzzySets and Systems vol 111 no 2 pp 253ndash266 2000
[8] B Zhang J Lam S Xu and Z Shu ldquoRobust stabilizationof uncertain T-S fuzzy time-delay systems with exponentialestimatesrdquo Fuzzy Sets and Systems vol 160 no 12 pp 1720ndash17372009
[9] H Shen S Xu J Zhou and J Lu ldquoFuzzy 119867infin
filteringfor nonlinear Markovian jump neutral systemsrdquo InternationalJournal of Systems Science vol 42 no 5 pp 767ndash780 2011
[10] Y Niu J Lam XWang and DW C Ho ldquoAdaptive Hinfincontrol
using backstepping design and neural networksrdquo Journal ofDynamic Systems Measurement and Control vol 127 no 3 pp478ndash485 2004
[11] K Tanaka andM Sugeno ldquoStability analysis and design of fuzzycontrol systemsrdquo Fuzzy Sets and Systems vol 45 no 2 pp 135ndash156 1992
[12] X Ban X Gao X Huang and H Yin ldquoStability analysisof the simplest Takagi-Sugeno fuzzy control system usingpopov criterionrdquo International Journal of Innovative ComputingInformation and Control vol 3 no 5 pp 1087ndash1096 2007
[13] S Tong W Wang and L Qu ldquoDecentralized robust controlfor uncertain T-S fuzzy large-scale systems with time-delayrdquoInternational Journal of Innovative Computing Information andControl vol 3 no 3 pp 657ndash672 2007
[14] S Zhou G Feng J Lam and S Xu ldquoRobust 119867infin
controlfor discrete-time fuzzy systems via basis-dependent Lyapunovfunctionsrdquo Information Sciences vol 174 no 3-4 pp 197ndash2172005
[15] B Zhang S Xu G Zong and Y Zou ldquoDelay-dependentstabilization for stochastic fuzzy systems with time delaysrdquoFuzzy Sets and Systems vol 158 no 20 pp 2238ndash2250 2007
[16] H Gao J Lam C Wang and Y Wang ldquoDelay-dependentoutput-feedback stabilisation of discrete-time systems withtime-varying state delayrdquo IEE ProceedingsmdashControl Theory andApplications vol 151 pp 691ndash698 2004
[17] B Zhang W X Zheng and S Xu ldquoOn robust 119867infin
filtering ofuncertain Markovian jump time-delay systemsrdquo InternationalJournal of Adaptive Control and Signal Processing vol 26 no 2pp 138ndash157 2012
[18] B Zhang W X Zheng and S Xu ldquoFiltering of Markovianjump delay systems based on a new performance indexrdquo IEEETransactions on Circuits and Systems I vol 60 pp 1250ndash12632013
[19] H Shen S Xu J Lu and J Zhou ldquoPassivity-based control foruncertain stochastic jumping systems with mode-dependentround-trip time delaysrdquo Journal of the Franklin Institute vol349 no 5 pp 1665ndash1680 2012
[20] H Shen S Xu J Lu and J Zhou ldquoFuzzy dissipative controlfor nonlinear Markovian jump systems via retarded feedbackrdquoJournal of the Franklin Institute 2013
[21] Y-Y Cao and P Frank ldquoAnalysis and synthesis of nonlineartime-delay systems via fuzzy control approachrdquo IEEE Transac-tions on Fuzzy Systems vol 8 no 2 pp 200ndash211 2000
[22] K R Lee E T Jeung andH B Park ldquoRobust fuzzy119867infincontrol
for uncertain nonlinear systems via state feedback an LMIapproachrdquo Fuzzy Sets and Systems vol 120 no 1 pp 123ndash1342001
[23] B Zhang S Zhou and T Li ldquoA new approach to robustand non-fragile 119867
infincontrol for uncertain fuzzy systemsrdquo
Information Sciences vol 177 no 22 pp 5118ndash5133 2007[24] Y-Y Cao and PM Frank ldquoRobust119867
infindisturbance attenuation
for a class of uncertain discrete-time fuzzy systemsrdquo IEEETransactions on Fuzzy Systems vol 8 no 4 pp 406ndash415 2000
[25] B Zhang and S Xu ldquoDelay-dependent robust Hinfin
controlfor uncertain discrete-time fuzzy systems with time-varyingdelaysrdquo IEEE Transactions on Fuzzy Systems vol 17 no 4 pp809ndash823 2009
[26] K R Lee J H Kim E T Jeung and H B Park ldquoOutput feed-back robust H
infincontrol of uncertain fuzzy dynamic systems
with time-varying delayrdquo IEEE Transactions on Fuzzy Systemsvol 8 no 6 pp 657ndash664 2000
[27] S Xu and J Lam ldquoRobust Hinfin
control for uncertain discrete-time-delay fuzzy systems via output feedback controllersrdquo IEEETransactions on Fuzzy Systems vol 13 no 1 pp 82ndash93 2005
[28] S Xu J Lam and B Chen ldquoRobust 119867infin
control for uncertainfuzzy neutral delay systemsrdquo European Journal of Control vol10 no 4 pp 365ndash385 2004
[29] Y Li S Xu B Zhang and Y Chu ldquoRobust stabilization and119867infincontrol for uncertain fuzzy neutral systemswithmixed time
delaysrdquo Fuzzy Sets and Systems vol 159 no 20 pp 2730ndash27482008
[30] Y Wang L Xie and C E de Souza ldquoRobust control of a classof uncertain nonlinear systemsrdquo Systems amp Control Letters vol19 no 2 pp 139ndash149 1992
[31] L Xie and C E de Souza ldquoRobust 119867infin
control for linearsystems with norm-bounded time-varying uncertaintyrdquo IEEETransactions on Automatic Control vol 37 no 8 pp 1188ndash11911992
[32] X Song S Xu and H Shen ldquoRobust119867infincontrol for uncertain
fuzzy systems with distributed delays via output feedbackcontrollersrdquo Information Sciences vol 178 no 22 pp 4341ndash4356 2008
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of