LMI-based Control Synthesis for Continuous-time T-S Fuzzy Systems

被引:0
|
作者
Wang, Dong [1 ]
Chang, Xiao-Heng [1 ]
机构
[1] Bohai Univ, Coll Engn, Jinzhou 121003, Peoples R China
关键词
T-S fuzzy systems; fuzzy Lyapunov function; stabilization; Linear matrix inequalities (LMIs); LYAPUNOV FUNCTION-APPROACH; TAKAGI-SUGENOS FORM; RELAXED STABILITY; PERFORMANCE CONDITIONS; NONLINEAR-SYSTEMS; DESIGN; STABILIZATION; OBSERVERS;
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 presents stabilizing controller design for a class of continuous-time T-S fuzzy systems. The main result concerns the stabilization based on fuzzy Lyapunov function approaches. Unlike the fuzzy Lyapunov function approaches reported in the literatures, the time-derivatives of membership functions do not appear in the design procedure and sufficient conditions for the solvability of the controller design problem are given in the form of linear matrix inequalities (LMIs) by applying some matrix transformations together with slack variables with special structure.
引用
收藏
页码:2707 / 2711
页数:5
相关论文
共 50 条
  • [31] Novel LMI-Based Stability Conditions for Interval Type-2 T-S Fuzzy Logic Control Systems
    Yu, Gwo-Ruey
    Cheng, Tzu-Fu
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS), 2015, : 412 - 417
  • [32] Dynamic Output Feedback Control for Continuous-Time T-S Fuzzy Systems Using Fuzzy Lyapunov Functions
    Liu, Yang
    Wu, Fen
    Ban, Xiaojun
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2017, 25 (05) : 1155 - 1167
  • [33] LMI-based H2/H∞ mixed controller designs for T-S fuzzy systems
    Liu, Guo-Yi
    Zhang, Qing-Ling
    Zhai, Ding
    Kongzhi yu Juece/Control and Decision, 2007, 22 (09): : 1032 - 1034
  • [34] L∞ Filter Design for Continuous-Time T-S fuzzy Systems with Quantization
    Li Jinshuo
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 4106 - 4113
  • [35] Unified stability criteria for continuous-time switched T-S fuzzy systems
    Liu, Can
    Mao, Xiang
    Zheng, Qunxian
    Zhang, Hongbin
    IET CONTROL THEORY AND APPLICATIONS, 2020, 14 (16): : 2455 - 2461
  • [36] Local H∞ controller design for continuous-time T-S fuzzy systems
    Dong Hwan Lee
    Jin Bae Park
    Young Hoon Joo
    Sung Kwan Kim
    International Journal of Control, Automation and Systems, 2015, 13 : 1499 - 1507
  • [37] Local H∞ Controller Design for Continuous-time T-S Fuzzy Systems
    Lee, Dong Hwan
    Park, Jin Bae
    Joo, Young Loon
    Kim, Sung Kwan
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2015, 13 (06) : 1499 - 1507
  • [38] H∞ control for T-S fuzzy systems:: LMI approach
    Liu, XD
    Zhang, QL
    PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2002, 1-6 : 987 - 988
  • [39] A T-S Fuzzy based Adaptive Critic for Continuous-time Input Affine Nonlinear Systems
    Kumar, Prem P.
    Behera, Laxmidhar
    Siddique, Nazmul H.
    Prasad, Girijesh
    2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 4329 - +
  • [40] Non-fragile finite-time control for continuous-time nonlinear systems based on T-S fuzzy model
    Zhang, Lei
    Gao, Hui-Juan
    Yang, Dedong
    Zhang, Kun
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 3820 - 3825