Adaptive command filter control for switched time-delay systems with dead-zone based on an exact disturbance observer

被引:1
|
作者
Zhu, Jingyang [1 ]
Li, Shurong [1 ]
Liu, Zhe [2 ]
机构
[1] Beijing Univ Posts & Telecommun, Coll Artificial Intelligence, Beijing, Peoples R China
[2] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive command filtered controller; echo state network; exact disturbance observer; prescribed performance control; switched nonlinear time-delay systems; DYNAMIC SURFACE CONTROL; FEEDBACK NONLINEAR-SYSTEMS; PRESCRIBED PERFORMANCE; NETWORKS; TRACKING;
D O I
10.1002/rnc.7512
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The focus of this article lies in the adaptive command filter tracking control problems for a class of switched time-delay systems with an asymmetric dead-zone and external disturbance under arbitrary switching. First, the external disturbance is estimated via an exact disturbance observer. Then, an echo state network (ESN) was adopted to approximate unknown function in system without tuning the weights between a reservoir and an input layer. Second, the time-varying input of the dead-zone model is considered as uncertain physical quantity of the system based on the dead-zone slope boundary information. Third, an adaptive command filtered controller is employed to conquer the matter of "explosion of complexity" encountered in the traditional backstepping method. The filtering errors present in a dynamic surface control (DSC) approach are effectively eliminated by means of error compensation signals. A prescribed performance control (PPC) is resorted to confine the system output to meet prescribed steady-state and transient tracking performances. The time delay terms are compensated by a Lyapunov-Krasovskii functional. The semi-globally ultimately uniformly boundedness of all states in the closed-loop system is ensured by the Liapunov's stability criterion. Finally, the validity of the developed control scheme is further verified through a simulation example.
引用
收藏
页码:10131 / 10159
页数:29
相关论文
共 50 条
  • [41] Observed-Based Adaptive Fuzzy Tracking Control for Switched Nonlinear Systems With Dead-Zone
    Tong, Shaocheng
    Sui, Shuai
    Li, Yongming
    IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (12) : 2816 - 2826
  • [42] Command-filter-based adaptive output feedback quantized tracking control for switched stochastic nonlinear time-delay systems with actuator saturation
    Wu, Tiantian
    Yang, Yekai
    Li, Shugang
    Yu, Zhaoxu
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (12) : 6866 - 6887
  • [43] Adaptive fuzzy control of switched nonlinear systems with uncertain dead-zone: A mode-dependent fuzzy dead-zone model
    Chen, Yanxian
    Liu, Zhi
    Chen, C. L. Philip
    Zhang, Yun
    NEUROCOMPUTING, 2021, 432 : 133 - 144
  • [44] Robust control for vibration control systems with dead-zone band and time delay under severe disturbance using adaptive fuzzy neural network
    Do Xuan Phu
    Van Mien
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (17): : 12281 - 12307
  • [45] Simple Adaptive Robust Output Tracking Controllers for Uncertain Nonlinear Time-Delay Systems with Dead-Zone Input
    Wu, Hansheng
    2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2017, : 552 - 557
  • [46] Disturbance Observer based Repetitive Controller for Time-Delay Systems
    Na, Jing
    Costa-Castello, Ramon
    Grino, Robert
    Ren, Xuemei
    2009 IEEE CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (EFTA 2009), 2009,
  • [47] Repetitive controller for time-delay systems based on disturbance observer
    Na, J.
    Grino, R.
    Costa-Castello, R.
    Ren, X.
    Chen, Q.
    IET CONTROL THEORY AND APPLICATIONS, 2010, 4 (11): : 2391 - 2404
  • [48] Switched-observer-based adaptive neural networks tracking control for switched nonlinear time-delay systems with actuator saturation
    Li, Zhenhua
    Cao, Gang
    Xie, Wei
    Gao, Rui
    Zhang, Weidong
    INFORMATION SCIENCES, 2023, 621 : 36 - 57
  • [49] Command-filter-based adaptive neural tracking control for strict-feedback stochastic nonlinear systems with input dead-zone
    Xu, Ke
    Wang, Huanqing
    Zhang, Qiang
    Chen, Ming
    Qiao, Junfei
    Niu, Ben
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2021, 52 (11) : 2283 - 2297
  • [50] Observer-based Adaptive Control for a Class of Uncertain Switched Systems with Time-delay: A Sliding Mode Approach
    Luxin Lin
    Zhen Liu
    Yonggui Kao
    Ruiping Xu
    International Journal of Control, Automation and Systems, 2020, 18 : 2907 - 2916