Fuzzy Interactions Compensation in Adaptive Control of Switched Interconnected Systems

被引:7
|
作者
Chen, Yanxian [1 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
关键词
Switches; Control systems; Interconnected systems; Fuzzy logic; Decentralized control; Switched systems; Uncertainty; Switched interconnected systems; unknown control directions; fuzzy logic systems; adaptive tracking control; UNCERTAIN NONLINEAR-SYSTEMS; TRACKING CONTROL; NEURAL-CONTROL; DESIGN;
D O I
10.1109/TASE.2022.3205902
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 work, tracking decentralized control scheme can be addressed for switched interconnected systems. To remove the strict assumption for interconnected systems, a new fuzzy interactions compensation function is presented. By directly employing the dynamic loop gain function, it is difficult to solve algebraic loop issue under switching framework. To relax such restriction, one novel mode-dependent dynamic loop gain function can be developed. Furthermore, adaptive controller can be designed to ensure stability of closed-loop system. Finally, availability of developed control scheme can be proven by the examples. Note to Practitioners-Under the switching framework, the internal performances of different modes are usually different, and repeating switching of different subsystems may result in the discontinuity of Nussbaum function's argument. Therefore, this paper proposes one novel mode-dependent dynamic loop gain function. It can be shown that the proposed mode-dependent dynamic loop gain function technique in which every mode in underlying system has its own dynamic loop gain function, which can remove such difficulty. The examples are applied to confirm availability of developed design.
引用
收藏
页码:48 / 55
页数:8
相关论文
共 50 条
  • [21] Adaptive fuzzy tracking control for a class of switched MIMO nonlinear systems
    王宇飞
    姜长生
    吴庆宪
    张强
    Journal of Harbin Institute of Technology(New series), 2012, (01) : 44 - 49
  • [22] Adaptive fuzzy asymptotic control for switched nonlinear systems with state constraints
    Liu, Yongchao
    Zhu, Qidan
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2022, 53 (05) : 922 - 933
  • [23] Adaptive tracking control for switched nonlinear systems with fuzzy actuator backlash
    Lyu, Ziliang
    Liu, Zhi
    Xie, Kan
    Chen, C. L. Philip
    Zhang, Yun
    FUZZY SETS AND SYSTEMS, 2020, 385 (385) : 60 - 80
  • [24] A Cyclic-Small-Gain-Based Adaptive Fuzzy Control of Interconnected Systems
    Li, Yuan-Xin
    Xu, Bo
    Ahn, Choon Ki
    IEEE SYSTEMS JOURNAL, 2022, 16 (04): : 6468 - 6479
  • [25] Observer-based adaptive fuzzy control for a class of nonlinear interconnected systems
    Kang, Qiang
    Wang, Wei
    Kongzhi yu Juece/Control and Decision, 2009, 24 (07): : 966 - 972
  • [26] Adaptive Fuzzy Optimal Control for Switched Nonlinear Systems With Output Hysteresis
    Zheng, Licheng
    Liu, Zhi
    Chen, C. L. Philip
    Zhang, Yun
    Wu, Zongze
    Xie, Shengli
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 31 (06) : 1940 - 1952
  • [27] Adaptive fuzzy tracking control for a class of switched MIMO nonlinear systems
    Wang, Yu-Fei
    Jiang, Chang-Sheng
    Wu, Qing-Xian
    Zhang, Qiang
    Journal of Harbin Institute of Technology (New Series), 2012, 19 (01) : 44 - 49
  • [28] Fuzzy adaptive optimal control for nonlinear switched systems with actuator hysteresis
    Sui, Shuai
    Tong, Shaocheng
    Chen, C. L. Philip
    Sun, Kangkang
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2019, 33 (04) : 609 - 625
  • [29] Decentralized adaptive fuzzy iterative learning control for repeatable nonlinear interconnected systems
    Chien, Chiang-Ju
    Er, Meng Joo
    2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, 2006, : 1710 - +
  • [30] Adaptive fuzzy PI tracking control for a class of switched nonlinear systems
    Li, Hongyao
    Sun, Haibin
    Hou, Linlin
    Lan, Qixun
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 532 - 537