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...
Saved in:
Published in | Communications in nonlinear science & numerical simulation Vol. 80; p. 104953 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.01.2020
Elsevier Science Ltd |
Subjects | |
Online Access | Get 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 |