A Fuzzy Lyapunov Function Method to Stability Analysis of Fractional-Order T-S Fuzzy Systems

被引:29
作者
Fan, Xiaofei [1 ,2 ]
Wang, Zhanshan [1 ,2 ]
机构
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
Fuzzy systems; Lyapunov methods; Stability criteria; Symmetric matrices; Fans; Nonlinear systems; Marine vehicles; Fractional-order T-S fuzzy systems; fuzzy Lyapunov functions; stability analysis; STABILIZATION; DESIGN; CONTROLLER; MODEL;
D O I
10.1109/TFUZZ.2021.3078289
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article investigates the stability analysis and stabilization problems for fractional-order T-S fuzzy systems via fuzzy Lyapunov function method. A membership-function-dependent fuzzy Lyapunov function instead of the general quadratic Lyapunov function is employed to obtain the stability and stabilization criteria. Different from the general quadratic Lyapunov function, the fuzzy Lyapunov functions contain the product of three term functions. Since the general Leibniz formula cannot be satisfied for fractional derivative, the current results on the fractional derivative for the quadratic Lyapunov functions cannot be extended to the fuzzy Lyapunov functions. Therefore, to estimate the fractional derivative of fuzzy Lyapunov functions, the fractional derivative rule for the product of three term functions is proposed. Based on the proposed fractional derivative rule, the corresponding stability and stabilization criteria are established, which extend the existing results. Finally, two simulation examples are presented to illustrate the effectiveness of the proposed theoretical analysis.
引用
收藏
页码:2769 / 2776
页数:8
相关论文
共 50 条
  • [31] On Stability and Stabilization of T-S Fuzzy Systems With Time-Varying Delays via Quadratic Fuzzy Lyapunov Matrix
    Li, Guiling
    Peng, Chen
    Xie, Xiangpeng
    Xie, Shaorong
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (09) : 3762 - 3773
  • [32] Reducing the conservatism of stability analysis for discrete-time T-S fuzzy systems based on a delayed Lyapunov function
    Xie, Xiang-Peng
    Weng, Sheng-Xuan
    Zhang, Hui-Feng
    NEUROCOMPUTING, 2016, 171 : 1139 - 1145
  • [33] Design of Static Output Feedback Controller for Fractional-Order T-S Fuzzy System
    Xia, Zhile
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [34] Stability Analysis of T-S Fuzzy Control System With Sampled-Dropouts Based on Time-Varying Lyapunov Function Method
    Wang, Zhanshan
    Sun, Jian
    Zhang, Huaguang
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (07): : 2566 - 2577
  • [35] Guaranteed Cost Control of T-S Fuzzy Systems using Piecewise Lyapunov Function based Switching Fuzzy Controller
    Chen, Ying-Jen
    Ohtake, Hiroshi
    Wang, Wen-June
    Tanaka, Kazuo
    Wang, Hua O.
    2009 IEEE CONTROL APPLICATIONS CCA & INTELLIGENT CONTROL (ISIC), VOLS 1-3, 2009, : 440 - +
  • [36] Adaptive Sliding Mode Observer Design for a Class of T-S Fuzzy Descriptor Fractional Order Systems
    Li, Rongchang
    Zhang, Xuefeng
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (09) : 1951 - 1960
  • [37] Consensus of T-S Fuzzy Fractional-Order, Singular Perturbation, Multi-Agent Systems
    Wang, Xiyi
    Zhang, Xuefeng
    Pedrycz, Witold
    Yang, Shuang-Hua
    Boutat, Driss
    FRACTAL AND FRACTIONAL, 2024, 8 (09)
  • [38] Exponential stabilization approach for a class of fractional-order fuzzy delayed systems
    Rebai, Aissa
    Guesmi, Kamel
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2024,
  • [39] T-S Fuzzy Model-Based Robust Output-Feedback Control for Fractional-Order Systems
    Chaibi, Redouane
    Yagoubi, Mohamed
    El Haiek, Badreddine
    2021 EUROPEAN CONTROL CONFERENCE (ECC), 2021, : 434 - 440
  • [40] Stability Analysis for Uncertain Delayed T-S Fuzzy Systems
    Yu, Jiali
    Liao, Yong
    2014 INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL THEORY AND APPLICATION, 2014, : 71 - 74