Fault-tolerant control for nonlinear switched systems with unknown control coefficients and full-state constraints

被引:16
作者
Li, Yaxin [1 ]
Wu, Libing [1 ]
Hu, Yuhan [1 ]
机构
[1] Univ Sci & Technol Liaoning, Sch Sci, Anshan 114051, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonlinear switched systems; Unknown control coefficients; Full-state constraints; Fault-tolerant control (FTC);
D O I
10.1016/j.ins.2021.10.033
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the adaptive fault-tolerant control problem for a class of uncertain nonlinear switched systems with unknown control coefficients, full-state constraints and actuator failures. To surmount the design difficulty from full-state constraints, we construct the switched barrier Lyapunov function mechanism. At the same time, the lower bound of unknown control coefficients is introduced to solve the problem of unknown control coefficients. Meanwhile, the trouble caused by actuator failures is compensated by switched controller and adaptive law. Furthermore, the tracking error asymptotically converges to zero is guaranteed and all signals in the closed-loop system are bounded. In addition, the full-state constraints are not violated. Finally, the effectiveness of the proposed approach is verified by simulation examples. (c) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码:750 / 766
页数:17
相关论文
共 29 条
  • [1] Finite-time adaptive fault-tolerant tracking control for nonlinear switched systems with dynamic uncertainties
    Cui, Di
    Wu, Yifei
    Xiang, Zhengrong
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (08) : 2976 - 2992
  • [2] Adaptive neural finite-time stabilisation for a class of p-normal form nonlinear systems with unknown virtual control coefficients
    Hu, Liyao
    Li, Xiaohua
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 2021, 94 (05) : 1386 - 1401
  • [3] Huang Y.X., AUTOMATICA, DOI [10.1016/j.automatica.2019.06.02, DOI 10.1016/J.AUTOMATICA.2019.06.02]
  • [4] Full state constraints and command filtering-based adaptive fuzzy control for permanent magnet synchronous motor stochastic systems
    Jiang, Qi
    Liu, Jiapeng
    Yu, Jinpeng
    Lin, Chong
    [J]. INFORMATION SCIENCES, 2021, 567 : 298 - 311
  • [5] Fuzzy adaptive event-triggered control for a class of nonlinear systems with time-varying full state constraints
    Jin, Xin
    Li, Yuan-Xin
    [J]. INFORMATION SCIENCES, 2021, 563 : 111 - 129
  • [6] A moving switching sequence approach for nonlinear model predictive control of switched systems with state-dependent switches and state jumps
    Katayama, Sotaro
    Doi, Masahiro
    Ohtsuka, Toshiyuki
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (02) : 719 - 740
  • [7] Integral-based event-triggered fault estimation and impulsive fault-tolerant control for networked control systems applied to underwater vehicles
    Li, Hongfei
    Pan, Jie
    Zhang, Xiaoyu
    Yu, Junzhi
    [J]. NEUROCOMPUTING, 2021, 442 : 36 - 47
  • [8] Li S, 2021, IEEE T FUZZY SYST, V29, P833, DOI [10.1109/TFUZZ.2020.2965917, 10.1155/2020/4732021]
  • [9] Observer-Based Adaptive Optimized Control for Stochastic Nonlinear Systems With Input and State Constraints
    Li, Yongming
    Zhang, Jiaxin
    Liu, Wei
    Tong, Shaocheng
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (12) : 7791 - 7805
  • [10] Adaptive Optimized Backstepping Control-Based RL Algorithm for Stochastic Nonlinear Systems With State Constraints and Its Application
    Li, Yongming
    Fan, Yanli
    Li, Kewen
    Liu, Wei
    Tong, Shaocheng
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (10) : 10542 - 10555