RETRACTED: Dissipativity-Based Fuzzy Integral Sliding Mode Control of Continuous-Time T-S Fuzzy Systems (Retracted Article)

被引:497
|
作者
Wang, Yueying [1 ]
Shen, Hao [2 ]
Karimi, Hamid Reza [3 ]
Duan, Dengping [4 ]
机构
[1] Shanghai Univ Engn Sci, Sch Elect & Elect Engn, Shanghai 201620, Peoples R China
[2] Anhui Univ Technol, Sch Elect Engn & Informat, Maanshan 243002, Peoples R China
[3] Politecn Milan, Dept Mech Engn, I-20156 Milan, Italy
[4] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会; 中国博士后科学基金;
关键词
Dissipativity; fuzzy integral switching surface; integral sliding mode control (ISMC); T-S fuzzy systems; H-INFINITY-CONTROL; UNCERTAIN STOCHASTIC-SYSTEMS; DELAY SYSTEMS; ROBUST STABILIZATION; DESIGN; STABILITY;
D O I
10.1109/TFUZZ.2017.2710952
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is concernedwith dissipativity-based fuzzy integral sliding mode control (FISMC) of continuous-time Takagi-Sugeno (T-S) fuzzy systems with matched/unmatched uncertainties and external disturbance. To better accommodate the characteristics of T-S fuzzy models, an appropriate integral-type fuzzy switching surface is put forward by taking the state-dependent input matrix into account, which is the key contribution of the paper. Based on the utilization of Lyapunov function and property of the transition matrix for unmatched uncertainties, sufficient conditions are presented to guarantee the asymptotic stability of corresponding sliding mode dynamics with a strictly dissipative performance. A FISMC law is synthesized to drive system trajectories onto the fuzzy switching surface despitematched/unmatched uncertainties and external disturbance. A modified adaptive FISMC law is further designed for adapting the unknown upper bound of matched uncertainty. Two practical examples are provided to illustrate the effectiveness and advantages of developed FISMC scheme.
引用
收藏
页码:1164 / 1176
页数:13
相关论文
共 50 条
  • [1] Dissipativity-Based Asynchronous Fuzzy Sliding Mode Control for T-S Fuzzy Hidden Markov Jump Systems
    Dong, Shanling
    Chen, C. L. Philip
    Fang, Mei
    Wu, Zheng-Guang
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (09) : 4020 - 4030
  • [2] RETRACTED: A Novel Robust Fuzzy Integral Sliding Mode Control for Nonlinear Semi-Markovian Jump T-S Fuzzy Systems (Retracted Article)
    Jiang, Baoping
    Karimi, Hamid Reza
    Kao, Yonggui
    Gao, Cunchen
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (06) : 3594 - 3604
  • [3] Dissipativity-Based Fuzzy Integral Sliding Mode Control of Nonlinear Stochastic Systems
    Luo, Honglin
    Zheng, Jiali
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [4] Integral sliding mode control for T-S fuzzy descriptor systems
    Mani, Prakash
    Rajan, Rakkiyappan
    Joo, Young Hoon
    [J]. NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2021, 39
  • [5] Dissipativity-based adaptive integral sliding mode control of Takagi-Sugeno fuzzy descriptor systems
    Huang, Xiaorong
    Huang, Haibo
    Peng, Yiqiang
    Ralescu, Anca L.
    Sun, Shulei
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2023, 17 (01): : 53 - 73
  • [6] Integral Sliding Mode Control of T-S Fuzzy Systems via a Fuzzy Triggering Mechanism
    Wan, Lingling
    Wang, Zirui
    [J]. IEEE ACCESS, 2024, 12 : 17748 - 17759
  • [7] Piecewise Integral Sliding-Mode Control for T-S Fuzzy Systems
    Xi, Zhiyu
    Feng, Gang
    Hesketh, Tim
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (01) : 65 - 74
  • [8] RETRACTED: Robust Guaranteed Cost Control Base on T-S fuzzy model (Retracted Article)
    Shi, Dejia
    Jiang, Weijin
    [J]. 2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL II, 2009, : 586 - +
  • [9] RETRACTED: Adaptive Control of Nonlinear Semi-Markovian Jump T-S Fuzzy Systems With Immeasurable Premise Variables via Sliding Mode Observer (Retracted Article)
    Jiang, Baoping
    Karimi, Hamid Reza
    Kao, Yonggui
    Gao, Cunchen
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (02) : 810 - 820
  • [10] LMI-based Control Synthesis for Continuous-time T-S Fuzzy Systems
    Wang, Dong
    Chang, Xiao-Heng
    [J]. PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 2707 - 2711