Stabilization of a class of fuzzy control systems via piecewise fuzzy Lyapunov function approach

被引:0
|
作者
Ji, Zhicheng [1 ]
Zhou, Yinghuan [1 ]
Shen, Yanxia [1 ]
机构
[1] So Yangtze Univ, Inst Elect Automat, Jiangsu 214122, Wuxi, Peoples R China
关键词
D O I
暂无
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 deals with the stability analysis and stabilization of a class of Takagi-Sugeno (T-S) fuzzy systems via piecewise fuzzy Lyapunov function approach. The piecewise fuzzy Lyapunov function is proposed by utilizing the structure information of the rule premise. Based on this function approach, sufficient conditions for stabilization of both open-loop fuzzy systems and closed-loop fuzzy systems are derived in the form of linear matrix inequality (LMI). A piecewise parallel distributed compensation (PDC) scheme which also contains the information of the rule base is introduced. It is shown that the piecewise fuzzy Lyapunov function approach is less conservative than those of the common Lyapunov function and the piecewise Lyapunov function. Some numerical examples illustrate the efficiency of the piecewise fuzzy Lyapunov function approach and the PDC stabilization method.
引用
下载
收藏
页码:1146 / 1151
页数:6
相关论文
共 50 条
  • [11] Stability and Stabilization of TS Fuzzy Systems via Line Integral Lyapunov Fuzzy Function
    Meredef, Imad Eddine
    Hammoudi, Mohamed Yacine
    Betka, Abir
    Hamiane, Madina
    Mimoune, Khalida
    ELECTRONICS, 2022, 11 (19)
  • [12] H∞ control for fuzzy descriptor systems based on fuzzy lyapunov function approach
    Institute of Systems Science, Northeastern University, Shenyang 110004, China
    不详
    Zidonghua Xuebao, 2008, 8 (929-936):
  • [13] Stabilization of a class of nonlinear continuous time systems via fuzzy control approach
    Chen, CL
    Feng, G
    2005 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL & 13TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1 AND 2, 2005, : 59 - 64
  • [14] Stabilization of Discrete-Time Nonlinear Control Systems - Multiple Fuzzy Lyapunov Function Approach
    Kau, Shih-Wei
    Huang, Xin-Yuan
    Shiu, Sheng-Yu
    Fang, Chun-Hsiung
    ICIA: 2009 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-3, 2009, : 24 - 29
  • [15] Stabilization of nonlinear systems based on fuzzy Lyapunov function
    Tanaka, K
    Hori, T
    Taniguchi, T
    Wang, HO
    ADVANCED FUZZY-NEURAL CONTROL 2001, 2002, : 9 - 14
  • [16] Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach
    Li, Hongyi
    Chen, Ziran
    Sun, Yiyong
    Karimi, Hamid Reza
    COMPLEXITY, 2015, 21 (02) : 74 - 81
  • [17] Exponential Stabilization for a Class of Nonlinear Parabolic PDE Systems via Fuzzy Control Approach
    Wu, Huai-Ning
    Wang, Jun-Wei
    Li, Han-Xiong
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2012, 20 (02) : 318 - 329
  • [18] Relaxed stabilization criteria for discrete-time T-S fuzzy control systems based on a switching fuzzy model and piecewise Lyapunov function
    Wang, Wen-June
    Chen, Ying-Jen
    Sun, Chung-Hsun
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2007, 37 (03): : 551 - 559
  • [19] Relaxed Stabilization Conditions of T-S Fuzzy Systems Using Piecewise Lyapunov Function Based Switching Fuzzy Controller
    Chen, Ying-Jen
    Ohtake, Hiroshi
    Tanaka, Kazuo
    Wang, Wen-June
    Wang, Hua O.
    2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 2009, : 1276 - +
  • [20] Fuzzy guaranteed cost control of permanent magnet synchronous motor chaos systems via fuzzy lyapunov function approach
    Shen, Yanxia
    Zhou, Yinghuan
    Ji, Zhicheng
    ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS, 2007, : 2449 - 2454