Event-triggered asynchronous control for switched T-S fuzzy systems based on looped functionals

被引:7
|
作者
Chen, Weizhong [1 ]
Fei, Zhongyang [2 ,3 ]
Zhao, Xudong [2 ,3 ]
Ren, Shunqing [1 ]
机构
[1] Harbin Inst Technol, Space Control & Inertial Technol Res Ctr, Harbin 150001, Peoples R China
[2] Dalian Univ Technol, Key Lab Intelligent Control & Optimizat Ind Equip, Minist Educ, Dalian 116024, Peoples R China
[3] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2022年 / 359卷 / 12期
关键词
H-INFINITY CONTROL; EXPONENTIAL STABILITY; ROBUST STABILIZATION; NEURAL-NETWORKS; TIME; DELAY; SYNCHRONIZATION; SUBJECT;
D O I
10.1016/j.jfranklin.2022.06.041
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we address the event-triggered H-infinity control for switched T-S fuzzy systems with asyn-chronism by means of looped functional approach. Different from the traditional Lyapunov functional, looped functional does not require positive definiteness and involve more sampling information, which can greatly reduce conservatism. First, we propose a mode-dependent event-triggered transmission strat-egy based on nonuniform sampled data. Since the switching of the system during the triggering interval will cause asynchronism, we consider the mismatch of modes and premise variables between the fuzzy system and controller. Then, by constructing appropriate two-side looped functionals including the state information of x(t(k)) to x(t) and x(t) to x(t(k+1)), several improved stability criteria are deduced for asyn-chronously switched T-S fuzzy systems with non-weighted L-2 gain. Furthermore, fuzzy controllers and the event-triggered scheme are co-designed to guarantee the stability of the closed-loop system with a prescribed performance index. Finally, two illustrate examples with some comparison results are given to corroborate the validity and advantages of our proposed method. (C) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:6311 / 6335
页数:25
相关论文
共 50 条
  • [31] Asynchronous Event-Triggered Finite-Time Filtering for Networked Switched T–S Fuzzy Systems
    Hui Gao
    Kaibo Shi
    Hongbin Zhang
    Hongbo Lv
    Circuits, Systems, and Signal Processing, 2021, 40 : 4279 - 4300
  • [32] Adaptive Event-triggered Control for Networked Switched T-S Fuzzy Systems Subject to False Data Injection Attacks
    Yiwen Qi
    Shuo Yuan
    Xin Wang
    International Journal of Control, Automation and Systems, 2020, 18 : 2580 - 2588
  • [33] Dynamic Event-Triggered Exponential Dissipative Control of Switched T-S Fuzzy Systems with Actuator Failures and DoS Attacks
    Liang, Jing
    Zhang, Liang
    Yang, Shuyi
    Zhao, Ning
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2025,
  • [34] An Improved Fuzzy Event-Triggered Asynchronous Dissipative Control to T-S FMJSs with Nonperiodic Sampled Data
    Wang, Xin
    Park, Ju H.
    Yang, Huilan
    Zhong, Shouming
    IEEE Transactions on Fuzzy Systems, 2021, 29 (10)
  • [35] T-S fuzzy model based event-triggered change control for product and supply chain systems
    Wei, Zhibo
    Liu, Yongze
    Wu, Yingnian
    Chen, Wenbai
    Li, Qing-Kui
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2024, 55 (03) : 426 - 439
  • [36] Networked H∞ Filtering for T-S Fuzzy Systems Based on Event-Triggered Scheme
    Wang, Qi
    Jia, Xinchun
    Chi, Xiaobo
    He, Dezhi
    Ma, Weiwei
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 1037 - 1042
  • [37] Fuzzy Switching Sliding Mode Control of T-S Fuzzy Systems via an Event-Triggered Strategy
    Fan, Xiaofei
    Li, Tao
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (11) : 6172 - 6184
  • [38] Event-triggered H∞ control for uncertain networked T-S fuzzy systems with time delay
    Yan, Huaicheng
    Wang, Tingting
    Zhang, Hao
    Shi, Hongbo
    NEUROCOMPUTING, 2015, 157 : 273 - 279
  • [39] Event-triggered predictive control for interval type-2 T-S fuzzy systems
    Zhou J.-F.
    Hu M.-F.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2022, 39 (08): : 1471 - 1478
  • [40] Dynamic Event-Triggered Containment Control for T-S Fuzzy Multiagent Systems With Actuator Faults
    Feng, Lihong
    Huang, Bonan
    Xie, Xiangpeng
    IEEE SYSTEMS JOURNAL, 2024, 18 (03): : 1538 - 1548