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
  • [41] Design on Sliding Mode Controller with Adaptive Fuzzy Compensation for Switched Reluctance Motor Drive Systems
    Wang, Shun-Yuan
    Liu, Foun-Yuan
    Chou, Len-Hsiang
    2016 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C), 2016, : 239 - 242
  • [42] Decentralized adaptive neural asymptotic control of switched nonlinear interconnected systems with predefined tracking performance
    Zeng, Danping
    Liu, Zhi
    Chen, C. L. Philip
    Zhang, Yun
    Wu, Zongze
    NEUROCOMPUTING, 2022, 510 : 37 - 47
  • [43] Adaptive Neural Networks Prescribed Performance Control Design for Switched Interconnected Uncertain Nonlinear Systems
    Li, Yongming
    Tong, Shaocheng
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (07) : 3059 - 3068
  • [44] Decentralized direct adaptive fuzzy control scheme for state-constrained interconnected systems
    Yan, Lei
    Liu, Zhi
    Chen, C. L. Philip
    Zhang, Yun
    Wu, Zongze
    FUZZY SETS AND SYSTEMS, 2023, 467
  • [45] DECENTRALIZED ADAPTIVE FUZZY NEURAL ITERATIVE LEARNING CONTROL FOR NONAFFINE NONLINEAR INTERCONNECTED SYSTEMS
    Wang, Ying-Chung
    Chien, Chiang-Ju
    ASIAN JOURNAL OF CONTROL, 2011, 13 (01) : 94 - 106
  • [46] Small-Gain Approach to Fuzzy Adaptive Control for Interconnected Systems With Unmodeled Dynamics
    Xu, Bo
    Li, Yuan-Xin
    Ahn, Choon Ki
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (11) : 4702 - 4716
  • [47] Event-Triggered output feedback adaptive control for nonlinear switched interconnected systems with unknown control coefficients
    Chen, Xiang
    Li, Shi
    Wang, Ronghao
    Xiang, Zhengrong
    APPLIED MATHEMATICS AND COMPUTATION, 2023, 445
  • [48] Adaptive fuzzy tracking control of switched uncertain nonlinear systems with unstable subsystems
    Long, Lijun
    Zhao, Jun
    FUZZY SETS AND SYSTEMS, 2015, 273 : 49 - 67
  • [49] Adaptive fuzzy backstepping control for a class of switched nonlinear systems with actuator faults
    Hou, Yingxue
    Tong, Shaocheng
    Li, Yongming
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 47 (15) : 3581 - 3590
  • [50] Adaptive fuzzy control design for a class of uncertain switched lower triangular systems
    Xu, Ning
    Wang, Xinyong
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (09) : 2718 - 2723