Admissibility Analysis and Controller Design Improvement for T-S Fuzzy Descriptor Systems

被引:1
|
作者
Yang, Han [1 ]
Zhang, Shuanghong [1 ]
Yu, Fanqi [1 ]
机构
[1] Jilin Normal Univ, Sch Math & Comp Sci, Siping 136000, Peoples R China
来源
SYMMETRY-BASEL | 2024年 / 16卷 / 08期
关键词
T-S fuzzy model; descriptor system; admissibility; linear matrix inequality (LMI); fuzzy Lyapunov function; PDC controller; non-PDC controller; SLIDING MODE CONTROL; NONLINEAR-SYSTEMS; NEURAL-NETWORKS; STABILIZATION; STABILITY; UNINORMS; FEEDBACK;
D O I
10.3390/sym16080992
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, a stability analysis and the controller improvement of T-S fuzzy Descriptor system are studied. Firstly, by making full use of the related theory of fuzzy affiliation function and combining the design method of fuzzy Lyapunov function with the method of inequality deflation, a stability condition with wider admissibility and less system conservatism is proposed. The advantage of this method is that it is not necessary to ensure that each fuzzy subsystem is progressively stable. We also maximise the boundary of the derivatives of the affiliation function mined. Secondly, a PDC controller and a Non-PDC controller are designed, and the deflation conditions for the linear matrix inequalities of the two controllers are constructed. Finally, some arithmetic simulations and practical examples are given to demonstrate the effectiveness of the method studied in this paper, and the results obtained are less conservative and have larger feasible domains than previous methods.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Robust stabilization of uncertain T-S fuzzy descriptor systems
    Ma, BP
    Sun, J
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 334 - 337
  • [32] Passivity control for uncertain T-S fuzzy descriptor systems
    Institute of Systems Science, Northeastern University, Shenyang 110004, China
    不详
    不详
    Zidonghua Xuebao, 2006, 5 (674-679):
  • [33] A design of T-S fuzzy controller with disturbance observer
    Wu, Dongyin
    Han, Hugang
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2016, 11 (02) : 198 - 205
  • [34] Design the T-S fuzzy controller for a class of T-S fuzzy models via genetic algorithm
    Sun, CC
    Chung, HY
    Chang, WJ
    PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 278 - 283
  • [35] DU-Admissibility with static output feedback for uncertain descriptor T-S systems
    Regaieg, Mohamed Amin
    Bosche, Jerome
    Kchaou, Mourad
    El Hajjaji, Ahmed
    Chaabane, Mohamed
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2019, 50 (10) : 2030 - 2041
  • [36] Adaptive Finite-Time Controller Design for T-S Fuzzy Systems
    Li, Yue
    Liu, Lu
    Feng, Gang
    IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (09) : 2425 - 2436
  • [37] Controller design of uncertain nonlinear systems based on T-S fuzzy model
    Zhang S.
    Bai S.
    Journal of Control Theory and Applications, 2009, 7 (2): : 139 - 143
  • [38] Stable controller design for T-S fuzzy systems based on Lie algebras
    Banks, SP
    Gürkan, E
    Erkmen, I
    FUZZY SETS AND SYSTEMS, 2005, 156 (02) : 226 - 248
  • [39] T-S fuzzy controller design for stabilization of nonlinear networked control systems
    Marouf, Sepideh
    Esfanjani, Reza Mahboobi
    Akbari, Ahmad
    Barforooshan, Mohsen
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2016, 50 : 135 - 141
  • [40] Passive controller design for T-S fuzzy systems with time-delay
    Zhang, Yan
    Zhang, Qing-Ling
    Li, Qin
    Zidonghua Xuebao/ Acta Automatica Sinica, 2009, 35 (03): : 328 - 331