Robust fuzzy stabilization of nonlinear time-delay systems subject to impulsive perturbations

•New analysis and design methods based on the use of impulse-time-dependent Lyapunov function/functional are proposed.•The restrictive condition on the relationship between the size of time-delay and lower bound of impulse intervals imposed by the previous results is removed.•The fuzzy PDC control d...

Full description

Saved in:
Bibliographic Details
Published inCommunications in nonlinear science & numerical simulation Vol. 80; p. 104953
Main Authors Zhang, Jinsen, Chen, Wu-Hua, Lu, Xiaomei
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.01.2020
Elsevier Science Ltd
Subjects
Online AccessGet full text

Cover

Loading…
Abstract •New analysis and design methods based on the use of impulse-time-dependent Lyapunov function/functional are proposed.•The restrictive condition on the relationship between the size of time-delay and lower bound of impulse intervals imposed by the previous results is removed.•The fuzzy PDC control design methodology for both cases of fast and slow time-varying delay is developed. This paper is concerned with robust stabilization problem of Takagi–Sugeno (T-S) fuzzy time-delay systems subject to impulsive perturbations. New results on robust stabilization via parallel distributed compensation (PDC) control are derived. First, based on the impulse-type Razumikhin–Lyapunov method combined with the use of an impulse-time-dependent Lyapunov function, a new exponential stability criterion for T-S fuzzy time-delay system with impulsive effects is obtained. The proposed stability criterion removes the restrictive condition on the relationship between the size of time-delay and lower bound of impulse intervals imposed by the previous results. Then, by employing a convex relaxation technique, a sufficient condition for the constructing the PDC controllers is presented, which is expressed in terms of linear matrix inequalities (LMIs). Next, the robust stabilization problem for the T-S system with slowly time-varying delay is studied. A different stabilization condition is derived via an impulse-time-dependent Lyapunov functional, which is less conservative than the former when the state delay is constant. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed analysis and design techniques.
AbstractList This paper is concerned with robust stabilization problem of Takagi–Sugeno (T-S) fuzzy time-delay systems subject to impulsive perturbations. New results on robust stabilization via parallel distributed compensation (PDC) control are derived. First, based on the impulse-type Razumikhin–Lyapunov method combined with the use of an impulse-time-dependent Lyapunov function, a new exponential stability criterion for T-S fuzzy time-delay system with impulsive effects is obtained. The proposed stability criterion removes the restrictive condition on the relationship between the size of time-delay and lower bound of impulse intervals imposed by the previous results. Then, by employing a convex relaxation technique, a sufficient condition for the constructing the PDC controllers is presented, which is expressed in terms of linear matrix inequalities (LMIs). Next, the robust stabilization problem for the T-S system with slowly time-varying delay is studied. A different stabilization condition is derived via an impulse-time-dependent Lyapunov functional, which is less conservative than the former when the state delay is constant. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed analysis and design techniques.
•New analysis and design methods based on the use of impulse-time-dependent Lyapunov function/functional are proposed.•The restrictive condition on the relationship between the size of time-delay and lower bound of impulse intervals imposed by the previous results is removed.•The fuzzy PDC control design methodology for both cases of fast and slow time-varying delay is developed. This paper is concerned with robust stabilization problem of Takagi–Sugeno (T-S) fuzzy time-delay systems subject to impulsive perturbations. New results on robust stabilization via parallel distributed compensation (PDC) control are derived. First, based on the impulse-type Razumikhin–Lyapunov method combined with the use of an impulse-time-dependent Lyapunov function, a new exponential stability criterion for T-S fuzzy time-delay system with impulsive effects is obtained. The proposed stability criterion removes the restrictive condition on the relationship between the size of time-delay and lower bound of impulse intervals imposed by the previous results. Then, by employing a convex relaxation technique, a sufficient condition for the constructing the PDC controllers is presented, which is expressed in terms of linear matrix inequalities (LMIs). Next, the robust stabilization problem for the T-S system with slowly time-varying delay is studied. A different stabilization condition is derived via an impulse-time-dependent Lyapunov functional, which is less conservative than the former when the state delay is constant. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed analysis and design techniques.
ArticleNumber 104953
Author Chen, Wu-Hua
Zhang, Jinsen
Lu, Xiaomei
Author_xml – sequence: 1
  givenname: Jinsen
  surname: Zhang
  fullname: Zhang, Jinsen
  organization: College of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004, PR China
– sequence: 2
  givenname: Wu-Hua
  orcidid: 0000-0002-7381-1969
  surname: Chen
  fullname: Chen, Wu-Hua
  email: wuhua_chen@163.com
  organization: School of Electrical Engineering, Guangxi University, Nanning, Guangxi 530004, PR China
– sequence: 3
  givenname: Xiaomei
  surname: Lu
  fullname: Lu, Xiaomei
  organization: College of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004, PR China
BookMark eNqFkE9LwzAYh4NMcJt-Ai8Bz51J0zXrwYMM_8FAED1KSJM3kNI2NUkH26c32zx50FNC-D3vm98zQ5Pe9YDQNSULSmh52yxUH_qwyAmt0ktRLdkZmtIVX2U858Uk3Qnh2ZKT4gLNQmhIoqplMUWfb64eQ8Rm3O93OERZ29buZbSux87gtKe1PUiPo-0g09DKlNqFCF3AYawbUBFHh203jG2wW8AD-Dj6-jghXKJzI9sAVz_nHH08Pryvn7PN69PL-n6TKcZozCpCqSqJAlJTQ2Sp2EprXmvOdC1NZXKtUyeqSAqmhgoKYxjTJRia60IaNkc3p7mDd18jhCgaN_o-rRQ5oyXny5wUKVWdUsq7EDwYoWw8fjR6aVtBiTjYFI042hQHm-JkM7HsFzt420m_-4e6O1GQym8teBGUhV6Btj6ZE9rZP_lvGEeUqw
CitedBy_id crossref_primary_10_1002_asjc_3540
crossref_primary_10_3390_axioms10010030
crossref_primary_10_1016_j_amc_2022_127585
crossref_primary_10_1016_j_nahs_2023_101335
crossref_primary_10_1016_j_neunet_2023_11_026
crossref_primary_10_3390_en12244727
crossref_primary_10_1109_ACCESS_2023_3267092
crossref_primary_10_1109_TCSII_2023_3309498
crossref_primary_10_1016_j_fss_2024_108861
crossref_primary_10_1016_j_cnsns_2021_106158
crossref_primary_10_1016_j_jfranklin_2022_06_025
crossref_primary_10_1155_2020_5285046
crossref_primary_10_1016_j_cnsns_2023_107396
crossref_primary_10_3390_app11136023
crossref_primary_10_1016_j_apm_2022_07_018
crossref_primary_10_1080_00051144_2023_2203552
crossref_primary_10_3934_math_2025287
crossref_primary_10_1016_j_matcom_2021_03_022
crossref_primary_10_1016_j_renene_2021_04_011
crossref_primary_10_1016_j_ifacol_2020_12_2216
crossref_primary_10_1016_j_jfranklin_2024_106675
Cites_doi 10.1007/s12555-011-0521-8
10.1109/TFUZZ.2010.2090162
10.1016/j.physleta.2007.05.059
10.1016/j.automatica.2003.12.014
10.1016/j.apm.2011.09.054
10.1016/j.fss.2015.09.026
10.1109/TFUZZ.2006.889926
10.1109/TSMC.1985.6313399
10.1016/j.automatica.2008.03.021
10.1016/j.cnsns.2014.01.018
10.1016/j.fss.2005.10.001
10.1016/j.neunet.2015.03.010
10.1109/TFUZZ.2018.2866968
10.1016/S0165-0114(00)00120-2
10.1109/TFUZZ.2006.883415
10.1016/j.physleta.2005.03.039
10.1109/91.919253
10.1016/S0898-1221(00)00328-X
10.1109/91.873576
10.1109/TFUZZ.2012.2217147
10.1016/j.automatica.2017.08.023
10.1049/iet-cta:20070375
10.1109/91.669023
10.1016/j.automatica.2018.10.024
10.1016/j.fss.2017.02.007
10.1109/TFUZZ.2006.890660
10.1109/TIE.2015.2504351
10.1007/s00034-014-9827-0
ContentType Journal Article
Copyright 2019 Elsevier B.V.
Copyright Elsevier Science Ltd. Jan 2020
Copyright_xml – notice: 2019 Elsevier B.V.
– notice: Copyright Elsevier Science Ltd. Jan 2020
DBID AAYXX
CITATION
DOI 10.1016/j.cnsns.2019.104953
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList

DeliveryMethod fulltext_linktorsrc
Discipline Applied Sciences
EISSN 1878-7274
ExternalDocumentID 10_1016_j_cnsns_2019_104953
S1007570419302679
GroupedDBID --K
--M
-01
-0A
-0I
-0Y
-SA
-S~
.~1
0R~
1B1
1RT
1~.
1~5
29F
4.4
457
4G.
5GY
5VR
5VS
7-5
71M
8P~
92M
9D9
9DA
AACTN
AAEDT
AAEDW
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AAXUO
ABAOU
ABFNM
ABJNI
ABMAC
ABNEU
ABXDB
ABYKQ
ACAZW
ACDAQ
ACFVG
ACGFS
ACNNM
ACRLP
ADBBV
ADEZE
ADGUI
ADMUD
ADTZH
AEBSH
AECPX
AEKER
AENEX
AFKWA
AFTJW
AFUIB
AGHFR
AGUBO
AGYEJ
AHJVU
AIEXJ
AIGVJ
AIKHN
AITUG
AIVDX
AJBFU
AJOXV
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
ARUGR
ASPBG
AVWKF
AXJTR
AZFZN
BJAXD
BKOJK
BLXMC
CAJEA
CAJUS
CCEZO
CCVFK
CHBEP
CS3
CUBFJ
DU5
EBS
EFJIC
EFLBG
EJD
EO8
EO9
EP2
EP3
FA0
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-Q
GBLVA
HVGLF
HZ~
IHE
J1W
JJJVA
JUIAU
KOM
M41
MHUIS
MO0
N9A
O-L
O9-
OAUVE
OGIMB
OZT
P-8
P-9
P2P
PC.
Q--
Q-0
Q38
R-A
R-I
R2-
RIG
ROL
RPZ
RT1
RT9
S..
SDF
SDG
SES
SEW
SPC
SPCBC
SPD
SSQ
SST
SSW
SSZ
T5K
T8Q
T8Y
U1F
U1G
U5A
U5I
U5K
UHS
~G-
~LA
AATTM
AAXKI
AAYWO
AAYXX
ABWVN
ACRPL
ACVFH
ADCNI
ADNMO
AEIPS
AEUPX
AFJKZ
AFPUW
AFXIZ
AGCQF
AGQPQ
AGRNS
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
BNPGV
CITATION
SSH
EFKBS
ID FETCH-LOGICAL-c331t-9011c60ce0b1f0a6c38dd7bd73dbaf9f2dd0491c0901019ce4ff33d6ef12d4af3
IEDL.DBID .~1
ISSN 1007-5704
IngestDate Fri Jul 25 07:58:51 EDT 2025
Thu Apr 24 23:06:34 EDT 2025
Tue Jul 01 01:09:07 EDT 2025
Fri Feb 23 02:25:46 EST 2024
IsPeerReviewed true
IsScholarly true
Keywords Impulsive perturbations
Takagi–Sugeno (T-S) fuzzy time-delay systems
PDC control
Impulse-time-dependent Lyapunov function
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c331t-9011c60ce0b1f0a6c38dd7bd73dbaf9f2dd0491c0901019ce4ff33d6ef12d4af3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-7381-1969
PQID 2316775204
PQPubID 2047477
ParticipantIDs proquest_journals_2316775204
crossref_citationtrail_10_1016_j_cnsns_2019_104953
crossref_primary_10_1016_j_cnsns_2019_104953
elsevier_sciencedirect_doi_10_1016_j_cnsns_2019_104953
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate January 2020
2020-01-00
20200101
PublicationDateYYYYMMDD 2020-01-01
PublicationDate_xml – month: 01
  year: 2020
  text: January 2020
PublicationDecade 2020
PublicationPlace Amsterdam
PublicationPlace_xml – name: Amsterdam
PublicationTitle Communications in nonlinear science & numerical simulation
PublicationYear 2020
Publisher Elsevier B.V
Elsevier Science Ltd
Publisher_xml – name: Elsevier B.V
– name: Elsevier Science Ltd
References Chen, Ruan, Zheng (bib0028) 2017; 86
Chen, Wei, Lu (bib0018) 2014; 19
Chen, Wei, Zheng (bib0026) 2013; 21
Wang, Wu (bib0027) 2016; 302
Jiang, Yu, Zhou (bib0030) 2008; 2
Takagi, Sugeno (bib0001) 1985; 15
Li, Ho, Cao (bib0020) 2019; 99
Qiu, Gao, Ding (bib0012) 2016; 63
Li, Sun (bib0025) 2012; 36
Wang, Yu, Li, Wang, Huang, Huang (bib0019) 2015; 67
Zhu, Suo, Chen, Li (bib0029) 2018; 26
Feng (bib0009) 2006; 14
Wang, Tanaka, Griffin (bib0002) 1995
Sakthivel, Saravanakumar, Ma (bib0013) 2017; 329
Ho, Sun (bib0023) 2007; 15
Liu, Zhong (bib0022) 2007; 370
Chen, Zhong, Jiang, Lu (bib0033) 2014; 33
Cao, Frank (bib0005) 2001; 124
Wang, Guan, Wang (bib0021) 2005; 339
Liu, Zhao, Lu (bib0024) 2011; 19
Guerra, Vermeiren (bib0008) 2004; 40
Yang (bib0015) 2001
Lin, Wang, Tong (bib0010) 2006; 157
Tanaka, Ikeda, Wang (bib0006) 2002; 6
(bib0011) 2007; 15
Hespanha, Liberzon, Teel (bib0017) 2008; 11
Cao, Frank (bib0007) 2002; 8
Liu, Ballinger (bib0016) 2001; 41
Chen, Li, Lu (bib0032) 2011; 9
Kim, Lee (bib0004) 2000; 8
Tuan, Apkarian, Narikiyo, Yamamoto (bib0031) 2001; 9
Tanaka, Ikeda, Wang (bib0003) 1998; 6
Bajnov, Simeonov (bib0014) 1989
Wang (10.1016/j.cnsns.2019.104953_bib0021) 2005; 339
Li (10.1016/j.cnsns.2019.104953_bib0020) 2019; 99
Jiang (10.1016/j.cnsns.2019.104953_bib0030) 2008; 2
Tanaka (10.1016/j.cnsns.2019.104953_bib0006) 2002; 6
Cao (10.1016/j.cnsns.2019.104953_bib0007) 2002; 8
Guerra (10.1016/j.cnsns.2019.104953_bib0008) 2004; 40
(10.1016/j.cnsns.2019.104953_bib0011) 2007; 15
Cao (10.1016/j.cnsns.2019.104953_bib0005) 2001; 124
Zhu (10.1016/j.cnsns.2019.104953_bib0029) 2018; 26
Liu (10.1016/j.cnsns.2019.104953_bib0024) 2011; 19
Tanaka (10.1016/j.cnsns.2019.104953_bib0003) 1998; 6
Chen (10.1016/j.cnsns.2019.104953_bib0018) 2014; 19
Chen (10.1016/j.cnsns.2019.104953_bib0032) 2011; 9
Tuan (10.1016/j.cnsns.2019.104953_bib0031) 2001; 9
Li (10.1016/j.cnsns.2019.104953_bib0025) 2012; 36
Yang (10.1016/j.cnsns.2019.104953_bib0015) 2001
Liu (10.1016/j.cnsns.2019.104953_bib0016) 2001; 41
Takagi (10.1016/j.cnsns.2019.104953_bib0001) 1985; 15
Wang (10.1016/j.cnsns.2019.104953_bib0019) 2015; 67
Feng (10.1016/j.cnsns.2019.104953_bib0009) 2006; 14
Ho (10.1016/j.cnsns.2019.104953_bib0023) 2007; 15
Chen (10.1016/j.cnsns.2019.104953_bib0026) 2013; 21
Qiu (10.1016/j.cnsns.2019.104953_bib0012) 2016; 63
Hespanha (10.1016/j.cnsns.2019.104953_bib0017) 2008; 11
Sakthivel (10.1016/j.cnsns.2019.104953_bib0013) 2017; 329
Chen (10.1016/j.cnsns.2019.104953_bib0033) 2014; 33
Wang (10.1016/j.cnsns.2019.104953_bib0002) 1995
Liu (10.1016/j.cnsns.2019.104953_bib0022) 2007; 370
Bajnov (10.1016/j.cnsns.2019.104953_bib0014) 1989
Lin (10.1016/j.cnsns.2019.104953_bib0010) 2006; 157
Chen (10.1016/j.cnsns.2019.104953_bib0028) 2017; 86
Wang (10.1016/j.cnsns.2019.104953_bib0027) 2016; 302
Kim (10.1016/j.cnsns.2019.104953_bib0004) 2000; 8
References_xml – volume: 302
  start-page: 143
  year: 2016
  end-page: 162
  ident: bib0027
  article-title: Fuzzy impulsive control for uncertain nonlinear systems with guaranteed cost
  publication-title: Fuzzy Sets Syst
– volume: 6
  start-page: 250
  year: 1998
  end-page: 265
  ident: bib0003
  article-title: Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs
  publication-title: IEEE Trans Fuzzy Syst
– start-page: 531
  year: 1995
  end-page: 538
  ident: bib0002
  article-title: Parallel distributed compensation of non-linear systems by Takagi–Sugeno fuzzy model
  publication-title: Proc. 4th IEEE int conf fuzzy syst, Yokohama, Japan
– volume: 15
  start-page: 972
  year: 2007
  end-page: 983
  ident: bib0011
  article-title: Stabilization of nonlinear systems under variable sampling: a fuzzy control approach
  publication-title: IEEE Trans Fuzzy Syst
– volume: 33
  start-page: 3757
  year: 2014
  end-page: 3782
  ident: bib0033
  article-title: Periodically intermittent stabilization of delayed neural networks based on piecewise lyapunov functions/functionals
  publication-title: Circuits Syst Signal Process
– volume: 63
  start-page: 1207
  year: 2016
  end-page: 1217
  ident: bib0012
  article-title: Recent advances on fuzzy-model-based nonlinear networked control systems: a survey
  publication-title: IEEE Trans Ind Electron
– volume: 99
  start-page: 361
  year: 2019
  end-page: 368
  ident: bib0020
  article-title: Finite-time stability and settling-time estimation of nonlinear impulsive systems
  publication-title: Automatica
– volume: 41
  start-page: 903
  year: 2001
  end-page: 915
  ident: bib0016
  article-title: Uniform asymptotic stability of impulsive delay differential equations
  publication-title: Comput Math Appl
– volume: 370
  start-page: 260
  year: 2007
  end-page: 264
  ident: bib0022
  article-title: TCS fuzzy model-based impulsive control of chaotic systems with exponential decay rate
  publication-title: Phys Lett A
– volume: 8
  start-page: 523
  year: 2000
  end-page: 533
  ident: bib0004
  article-title: New approaches to relaxed quadratic stability condition of fuzzy control systems
  publication-title: IEEE Trans Fuzzy Syst
– volume: 9
  start-page: 324
  year: 2001
  end-page: 332
  ident: bib0031
  article-title: Parameterized linear matrix inequality techniques in fuzzy control system design
  publication-title: IEEE Trans Fuzzy Syst
– volume: 329
  start-page: 1
  year: 2017
  end-page: 18
  ident: bib0013
  article-title: Anthoni s. finite-time resilient reliable sampled-data control for fuzzy systems with randomly occurring uncertainties
  publication-title: Fuzzy Sets Syst
– volume: 15
  start-page: 116
  year: 1985
  end-page: 132
  ident: bib0001
  article-title: Fuzzy identification of systems and its applications to modeling and control
  publication-title: IEEE Trans Syst Man Cybern
– volume: 124
  start-page: 213
  year: 2001
  end-page: 229
  ident: bib0005
  article-title: Stability analysis and synthesis of nonlinear time-delay systems via linear Takagi–Sugeno fuzzy models
  publication-title: Fuzzy Sets Syst
– volume: 40
  start-page: 823
  year: 2004
  end-page: 829
  ident: bib0008
  article-title: LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the takagi-sugeno’s form
  publication-title: Automatica
– volume: 26
  start-page: 3893
  year: 2018
  end-page: 3901
  ident: bib0029
  article-title: Stability and
  publication-title: IEEE Trans Fuzzy Syst
– volume: 157
  start-page: 1229
  year: 2006
  end-page: 1247
  ident: bib0010
  article-title: Delay-dependent LMI conditions for stability and stabilization of t-s fuzzy systems with bounded time-delay
  publication-title: Fuzzy Sets Syst
– year: 2001
  ident: bib0015
  article-title: Impulsive control theory
– volume: 19
  start-page: 393
  year: 2011
  end-page: 398
  ident: bib0024
  article-title: A new fuzzy impulsive control of chaotic systems based on t-s fuzzy model
  publication-title: IEEE Trans Fuzzy Syst
– volume: 6
  start-page: 250
  year: 2002
  end-page: 265
  ident: bib0006
  article-title: Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs
  publication-title: IEEE Trans Fuzzy Syst
– volume: 67
  start-page: 84
  year: 2015
  end-page: 91
  ident: bib0019
  article-title: Robust stability of stochastic fuzzy delayed neural networks with impulsive time window
  publication-title: Neural Netw
– volume: 9
  start-page: 987
  year: 2011
  end-page: 992
  ident: bib0032
  article-title: Impulsive functional observers for linear systems
  publication-title: Int J Control Autom Syst
– volume: 86
  start-page: 129
  year: 2017
  end-page: 137
  ident: bib0028
  article-title: Stability and
  publication-title: Automatica
– volume: 339
  start-page: 325
  year: 2005
  end-page: 332
  ident: bib0021
  article-title: Impulsive synchronization for Takagi–Sugeno fuzzy model and its application to continuous chaotic system
  publication-title: Phys Lett A
– volume: 36
  start-page: 2710
  year: 2012
  end-page: 2723
  ident: bib0025
  article-title: Type-2 t-s fuzzy impulsive control of nonlinear systems
  publication-title: Appl Math Model
– volume: 2
  start-page: 654
  year: 2008
  end-page: 661
  ident: bib0030
  article-title: Robust fuzzy control of nonlinear fuzzy impulsive systems with time-varying delay
  publication-title: IET Control Theory Appl
– volume: 19
  start-page: 3298
  year: 2014
  end-page: 3312
  ident: bib0018
  article-title: Global exponential synchronization of nonlinear time-delay lure systems via delayed impulsive control
  publication-title: Commun Nonlinear Sci Numer Simulat
– volume: 8
  start-page: 200
  year: 2002
  end-page: 211
  ident: bib0007
  article-title: Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach
  publication-title: IEEE Trans Fuzzy Syst
– volume: 11
  start-page: 2735
  year: 2008
  end-page: 2744
  ident: bib0017
  article-title: Lyapunov conditions for input-to-state stability of impulsive systems
  publication-title: Automatica
– volume: 15
  start-page: 784
  year: 2007
  end-page: 790
  ident: bib0023
  article-title: Stability of Takagi–Sugeno fuzzy delay systems with impulse
  publication-title: IEEE Trans Fuzzy Syst
– volume: 14
  start-page: 676
  year: 2006
  end-page: 697
  ident: bib0009
  article-title: A survey on analysis and design of model-based fuzzy control systems
  publication-title: IEEE Trans Fuzzy Syst
– year: 1989
  ident: bib0014
  article-title: Systems with impulse effect stability, theory and applications
– volume: 21
  start-page: 516
  year: 2013
  end-page: 526
  ident: bib0026
  article-title: Delayed impulsive control of Takagi–Sugeno fuzzy delay systems
  publication-title: IEEE Trans Fuzzy Syst
– volume: 9
  start-page: 987
  issue: 5
  year: 2011
  ident: 10.1016/j.cnsns.2019.104953_bib0032
  article-title: Impulsive functional observers for linear systems
  publication-title: Int J Control Autom Syst
  doi: 10.1007/s12555-011-0521-8
– volume: 19
  start-page: 393
  issue: 2
  year: 2011
  ident: 10.1016/j.cnsns.2019.104953_bib0024
  article-title: A new fuzzy impulsive control of chaotic systems based on t-s fuzzy model
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/TFUZZ.2010.2090162
– volume: 370
  start-page: 260
  issue: 3
  year: 2007
  ident: 10.1016/j.cnsns.2019.104953_bib0022
  article-title: TCS fuzzy model-based impulsive control of chaotic systems with exponential decay rate
  publication-title: Phys Lett A
  doi: 10.1016/j.physleta.2007.05.059
– volume: 40
  start-page: 823
  issue: 5
  year: 2004
  ident: 10.1016/j.cnsns.2019.104953_bib0008
  article-title: LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the takagi-sugeno’s form
  publication-title: Automatica
  doi: 10.1016/j.automatica.2003.12.014
– volume: 8
  start-page: 200
  issue: 2
  year: 2002
  ident: 10.1016/j.cnsns.2019.104953_bib0007
  article-title: Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach
  publication-title: IEEE Trans Fuzzy Syst
– volume: 36
  start-page: 2710
  issue: 6
  year: 2012
  ident: 10.1016/j.cnsns.2019.104953_bib0025
  article-title: Type-2 t-s fuzzy impulsive control of nonlinear systems
  publication-title: Appl Math Model
  doi: 10.1016/j.apm.2011.09.054
– volume: 302
  start-page: 143
  year: 2016
  ident: 10.1016/j.cnsns.2019.104953_bib0027
  article-title: Fuzzy impulsive control for uncertain nonlinear systems with guaranteed cost
  publication-title: Fuzzy Sets Syst
  doi: 10.1016/j.fss.2015.09.026
– year: 1989
  ident: 10.1016/j.cnsns.2019.104953_bib0014
– volume: 15
  start-page: 784
  issue: 5
  year: 2007
  ident: 10.1016/j.cnsns.2019.104953_bib0023
  article-title: Stability of Takagi–Sugeno fuzzy delay systems with impulse
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/TFUZZ.2006.889926
– volume: 15
  start-page: 116
  issue: 1
  year: 1985
  ident: 10.1016/j.cnsns.2019.104953_bib0001
  article-title: Fuzzy identification of systems and its applications to modeling and control
  publication-title: IEEE Trans Syst Man Cybern
  doi: 10.1109/TSMC.1985.6313399
– volume: 11
  start-page: 2735
  year: 2008
  ident: 10.1016/j.cnsns.2019.104953_bib0017
  article-title: Lyapunov conditions for input-to-state stability of impulsive systems
  publication-title: Automatica
  doi: 10.1016/j.automatica.2008.03.021
– volume: 19
  start-page: 3298
  issue: 9
  year: 2014
  ident: 10.1016/j.cnsns.2019.104953_bib0018
  article-title: Global exponential synchronization of nonlinear time-delay lure systems via delayed impulsive control
  publication-title: Commun Nonlinear Sci Numer Simulat
  doi: 10.1016/j.cnsns.2014.01.018
– volume: 157
  start-page: 1229
  issue: 9
  year: 2006
  ident: 10.1016/j.cnsns.2019.104953_bib0010
  article-title: Delay-dependent LMI conditions for stability and stabilization of t-s fuzzy systems with bounded time-delay
  publication-title: Fuzzy Sets Syst
  doi: 10.1016/j.fss.2005.10.001
– volume: 67
  start-page: 84
  year: 2015
  ident: 10.1016/j.cnsns.2019.104953_bib0019
  article-title: Robust stability of stochastic fuzzy delayed neural networks with impulsive time window
  publication-title: Neural Netw
  doi: 10.1016/j.neunet.2015.03.010
– volume: 26
  start-page: 3893
  issue: 6
  year: 2018
  ident: 10.1016/j.cnsns.2019.104953_bib0029
  article-title: Stability and l1-gain analysis for positive Takagi–Sugeno fuzzy systems with impulse
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/TFUZZ.2018.2866968
– volume: 124
  start-page: 213
  issue: 2
  year: 2001
  ident: 10.1016/j.cnsns.2019.104953_bib0005
  article-title: Stability analysis and synthesis of nonlinear time-delay systems via linear Takagi–Sugeno fuzzy models
  publication-title: Fuzzy Sets Syst
  doi: 10.1016/S0165-0114(00)00120-2
– volume: 14
  start-page: 676
  issue: 5
  year: 2006
  ident: 10.1016/j.cnsns.2019.104953_bib0009
  article-title: A survey on analysis and design of model-based fuzzy control systems
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/TFUZZ.2006.883415
– volume: 339
  start-page: 325
  issue: 3
  year: 2005
  ident: 10.1016/j.cnsns.2019.104953_bib0021
  article-title: Impulsive synchronization for Takagi–Sugeno fuzzy model and its application to continuous chaotic system
  publication-title: Phys Lett A
  doi: 10.1016/j.physleta.2005.03.039
– volume: 9
  start-page: 324
  issue: 2
  year: 2001
  ident: 10.1016/j.cnsns.2019.104953_bib0031
  article-title: Parameterized linear matrix inequality techniques in fuzzy control system design
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/91.919253
– volume: 41
  start-page: 903
  issue: 7
  year: 2001
  ident: 10.1016/j.cnsns.2019.104953_bib0016
  article-title: Uniform asymptotic stability of impulsive delay differential equations
  publication-title: Comput Math Appl
  doi: 10.1016/S0898-1221(00)00328-X
– volume: 8
  start-page: 523
  issue: 5
  year: 2000
  ident: 10.1016/j.cnsns.2019.104953_bib0004
  article-title: New approaches to relaxed quadratic stability condition of fuzzy control systems
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/91.873576
– volume: 21
  start-page: 516
  issue: 3
  year: 2013
  ident: 10.1016/j.cnsns.2019.104953_bib0026
  article-title: Delayed impulsive control of Takagi–Sugeno fuzzy delay systems
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/TFUZZ.2012.2217147
– volume: 86
  start-page: 129
  year: 2017
  ident: 10.1016/j.cnsns.2019.104953_bib0028
  article-title: Stability and l2-gain analysis for impulsive delay systems: an impulse-time-dependent discretized lyapunov functional method
  publication-title: Automatica
  doi: 10.1016/j.automatica.2017.08.023
– year: 2001
  ident: 10.1016/j.cnsns.2019.104953_bib0015
– volume: 2
  start-page: 654
  issue: 8
  year: 2008
  ident: 10.1016/j.cnsns.2019.104953_bib0030
  article-title: Robust fuzzy control of nonlinear fuzzy impulsive systems with time-varying delay
  publication-title: IET Control Theory Appl
  doi: 10.1049/iet-cta:20070375
– volume: 6
  start-page: 250
  issue: 2
  year: 2002
  ident: 10.1016/j.cnsns.2019.104953_bib0006
  article-title: Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/91.669023
– volume: 99
  start-page: 361
  year: 2019
  ident: 10.1016/j.cnsns.2019.104953_bib0020
  article-title: Finite-time stability and settling-time estimation of nonlinear impulsive systems
  publication-title: Automatica
  doi: 10.1016/j.automatica.2018.10.024
– volume: 329
  start-page: 1
  year: 2017
  ident: 10.1016/j.cnsns.2019.104953_bib0013
  article-title: Anthoni s. finite-time resilient reliable sampled-data control for fuzzy systems with randomly occurring uncertainties
  publication-title: Fuzzy Sets Syst
  doi: 10.1016/j.fss.2017.02.007
– start-page: 531
  year: 1995
  ident: 10.1016/j.cnsns.2019.104953_bib0002
  article-title: Parallel distributed compensation of non-linear systems by Takagi–Sugeno fuzzy model
– volume: 6
  start-page: 250
  issue: 2
  year: 1998
  ident: 10.1016/j.cnsns.2019.104953_bib0003
  article-title: Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/91.669023
– volume: 15
  start-page: 972
  issue: 5
  year: 2007
  ident: 10.1016/j.cnsns.2019.104953_bib0011
  article-title: Stabilization of nonlinear systems under variable sampling: a fuzzy control approach
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/TFUZZ.2006.890660
– volume: 63
  start-page: 1207
  issue: 2
  year: 2016
  ident: 10.1016/j.cnsns.2019.104953_bib0012
  article-title: Recent advances on fuzzy-model-based nonlinear networked control systems: a survey
  publication-title: IEEE Trans Ind Electron
  doi: 10.1109/TIE.2015.2504351
– volume: 33
  start-page: 3757
  issue: 12
  year: 2014
  ident: 10.1016/j.cnsns.2019.104953_bib0033
  article-title: Periodically intermittent stabilization of delayed neural networks based on piecewise lyapunov functions/functionals
  publication-title: Circuits Syst Signal Process
  doi: 10.1007/s00034-014-9827-0
SSID ssj0016954
Score 2.3943403
Snippet •New analysis and design methods based on the use of impulse-time-dependent Lyapunov function/functional are proposed.•The restrictive condition on the...
This paper is concerned with robust stabilization problem of Takagi–Sugeno (T-S) fuzzy time-delay systems subject to impulsive perturbations. New results on...
SourceID proquest
crossref
elsevier
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 104953
SubjectTerms Fuzzy logic
Fuzzy systems
Impulse-time-dependent Lyapunov function
Impulsive perturbations
Liapunov functions
Linear matrix inequalities
Lower bounds
Mathematical analysis
Mathematical functions
Mathematical models
Matrix methods
Nonlinear systems
PDC control
Robust stabilization
Robustness (mathematics)
Stability criteria
Systems stability
Takagi–Sugeno (T-S) fuzzy time-delay systems
Time delay systems
Time dependence
Title Robust fuzzy stabilization of nonlinear time-delay systems subject to impulsive perturbations
URI https://dx.doi.org/10.1016/j.cnsns.2019.104953
https://www.proquest.com/docview/2316775204
Volume 80
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV09T8MwELWqsrDwjSiUygMjoUns2PVYVVQFpA5ApS4oiu1YKipt1SQDHfjt-BKnEkh0YE3OkXO2787n53cI3SjJmOCJ9Ox-VnhUJcrrEZp4VHKfacZTY0q2zzEbTejjNJo20KC-CwOwSmf7K5teWmv3pOu02V3NZt0XON-PuE9tCAJllOASH6UcZvnd1xbmETBRVkIDYQ-ka-ahEuOlFtkCOLsDAWedIiJ_eadfdrp0PsMjdOCiRtyvOnaMGuniBB26CBK79ZmdorfnpSyyHJtis_nENvAD6Gt10RIvDV5UvBjJGkNJeQ8IIq1UxVmOs0JCTgbnSzz7WBVzwLXjVbq2PklWab0zNBnevw5Gniug4ClCghygF4Fivkp9GRg_YYr0tOZSc6JlYoQJtbZ_HSgfMBqBUCk1hhDNUhOEmiaGnKOm7Vl6gTBXhmqSiEgC5RnXUkigpYHdmy-sk2-hsFZcrBy7OBS5mMc1jOw9LrUdg7bjStstdLtttKrINXaLs3pE4h9zJLbmf3fDdj1-sVui9j1wAPAo9Onlf797hfZD2H6XGZk2aubrIr22MUouO-Uk7KC9_sPTaPwN_AHoQQ
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Nb9QwEB0t5VAulK-qhQV8gBthk9ix60MPCKi27NIDtFIvlRt_SVu1u6tNItQe-qf6B_EkTiWQ6AGp1yS2rLEz88Z-fgPwzmjOpSh1EvJZmTBTmmSHsjJhWqTccuG8b9U-D_j4iH07Lo4HcNPfhUFaZfT9nU9vvXV8MorWHC1ns9FPPN8vRMoCBMEySjIyKyfu8lfI26rd_S9hkt_n-d7Xw8_jJJYWSAylWY2khMzw1LhUZz4tuaE71gptBbW69NLn1gbonJkU2QuZNI55T6nlzme5ZaWnod8H8JAFd4FlEz5e3_JKMi7b0ms4ugSH10sdtaQyM6_mKBKeSTxclQX9Vzj8KzC00W7vCTyOMJV86izxFAZu_gw2ImQl0SFUz-Hkx0I3VU18c3V1SQLSRK5td7OTLDyZd0Ic5YpgDfsEFSnDV51IOqkajZtApF6Q2cWyOUciPVm6VQiCuttHfAFH92LWTVgLI3NbQITxzNJSFho11oTVUqMODqaLqQyoYhvy3nDKRDlzrKpxrnre2plqra3Q2qqz9jZ8uG207NQ87v6c9zOi_liUKsSbuxsO-_lT0SeE9yg6IIo8ZS__t9-3sD4-_D5V0_2DySt4lGPu324HDWGtXjXudQBItX7TLkgCp_f9B_wG3TolVA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Robust+fuzzy+stabilization+of+nonlinear+time-delay+systems+subject+to+impulsive+perturbations&rft.jtitle=Communications+in+nonlinear+science+%26+numerical+simulation&rft.au=Zhang%2C+Jinsen&rft.au=Chen%2C+Wu-Hua&rft.au=Lu%2C+Xiaomei&rft.date=2020-01-01&rft.pub=Elsevier+B.V&rft.issn=1007-5704&rft.eissn=1878-7274&rft.volume=80&rft_id=info:doi/10.1016%2Fj.cnsns.2019.104953&rft.externalDocID=S1007570419302679
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1007-5704&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1007-5704&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1007-5704&client=summon