Mixed H∞ and passive filtering for switched Takagi-Sugeno fuzzy systems with average dwell time

被引:11
|
作者
Zheng, Qunxian [1 ,2 ]
Zhang, Hongbin [3 ]
机构
[1] Anhui Polytech Univ, Anhui Key Lab Detect Technol & Energy Saving Devi, Wuhu, Peoples R China
[2] Anhui Polytech Univ, Coll Elect Engn, Wuhu 241000, Anhui, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 611731, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Mixed H-infinity and passive filtering; Switched T-S fuzzy systems; Multiple Lyapunov functions; Average dwell time; OUTPUT-FEEDBACK PASSIFICATION; DELAY SYSTEMS; DISSIPATIVITY; STABILITY; L-2-GAIN; DESIGN;
D O I
10.1016/j.isatra.2018.02.014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the mixed H-infinity and passive filtering problem for switched Takagi-Sugeno (T-S) fuzzy systems with average dwell time (ADT) in both continuous-time and discrete-time contexts. To deal with this problem, a new performance index is proposed for switched systems. This new performance index can be viewed as the mixed weighted H. and passivity performance index. Based on this new performance index, the weighted H-infinity filtering problem and the passive filtering problem for switched T-S fuzzy systems can be solved in a unified framework. Combining the multiple Lyapunov functions approach with a matrix decoupling technique, new sufficient conditions for the existence of mixed weighted H-infinity, and passive filters are obtained for switched T-S fuzzy systems. All these conditions are expressed in terms of linear matrix inequalities (LMIs). The desired filters can be constructed by solving these LMIs. Finally, numerical examples and practical examples are provided. (C) 2018 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:52 / 63
页数:12
相关论文
共 50 条
  • [41] Output stabilization of Takagi-Sugeno fuzzy systems
    Yoneyama, J
    Nishikawa, M
    Katayama, H
    Ichikawa, A
    FUZZY SETS AND SYSTEMS, 2000, 111 (02) : 253 - 266
  • [42] H∞ FAULT DETECTION AND CONTROL FOR CONTINUOUS-TIME TAKAGI-SUGENO FUZZY SYSTEMS
    Naamane, Khadija
    Lamrabet, Ouarda
    Tissir, El Houssaine
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2020, 16 (05): : 1697 - 1710
  • [43] Fuzzy control with robust and passive properties for discrete-time Takagi-Sugeno fuzzy systems with multiplicative noises
    Chang, W-J
    Jheng, S-S
    Ku, C-C
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2012, 226 (I4) : 476 - 485
  • [44] Selective Stabilization of Takagi-Sugeno Fuzzy Systems
    Tognetti, Eduardo S.
    Oliveira, Ricardo C. L. F.
    Peres, Pedro L. D.
    2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), 2010,
  • [45] Takagi-Sugeno Fuzzy Modeling Using Mixed Fuzzy Clustering
    Salgado, Catia M.
    Viegas, Joaquim L.
    Azevedo, Carlos S.
    Ferreira, Marta C.
    Vieira, Susana M.
    Sousa, Joao M. C.
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2017, 25 (06) : 1417 - 1429
  • [46] Coevolutionary design of Takagi-Sugeno fuzzy systems
    Delgado, MR
    Von Zuben, F
    Gomide, F
    CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 1384 - 1389
  • [47] Stability of cascaded Takagi-Sugeno fuzzy systems
    Lendek, Zs.
    Babuska, R.
    De Schutter, B.
    2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 504 - 509
  • [48] H∞ fuzzy control of structural systems using Takagi-Sugeno fuzzy model
    Chen, CW
    Chiang, WL
    Hsiao, FH
    Tsai, CH
    ICM '04: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS 2004, 2004, : 340 - 345
  • [49] Passivity and passification for stochastic Takagi-Sugeno fuzzy systems with mixed time-varying delays
    Song, Qiankun
    Zhao, Zhenjiang
    Yang, Jianxi
    NEUROCOMPUTING, 2013, 122 : 330 - 337
  • [50] Selective H2 and H∞ Stabilization of Takagi-Sugeno Fuzzy Systems
    Tognetti, Eduardo S.
    Oliveira, Ricardo C. L. F.
    Peres, Pedro L. D.
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (05) : 890 - 900