Prescribed performance dynamic surface fuzzy control for strict-feedback nonlinear system with actuator fault

被引:0
作者
Sun, Zidong [1 ]
Liang, Li [1 ]
Gao, Wei [1 ]
机构
[1] Yunnan Normal Univ, Sch Informat Sci & Technol, Kunming 650500, Yunnan, Peoples R China
关键词
actuator fault; finite-time; prescribed performance; TRACKING CONTROL; MULTIAGENT SYSTEMS;
D O I
10.1002/int.23059
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, an adaptive fuzzy control scheme for strict-feedback nonlinear system with finite-time prescribed performance and actuator fault is studied. First, we consider a prescribed performance function that enables the tracking error to converge within a preset interval in a finite time. Subsequently, the fuzzy logic system and dynamic surface control technology are embedded in the backstepping design process, and the purpose of the dynamic surface control technique is to settle the problem of computational explosion when processing the backstepping design. The fuzzy logic system is used to approximate the unknown functions that appear in the system. Finally, a new controller is designed in combination with an updated law which ensures that all the signals in the closed-loop is bounded. Two simulation examples are taken to illustrate the feasibility of the presented control scheme.
引用
收藏
页码:11692 / 11712
页数:21
相关论文
共 37 条
  • [1] Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults
    Chen, Ci
    Lewis, Frank L.
    Xie, Shengli
    Modares, Hamidreza
    Liu, Zhi
    Zuo, Shan
    Davoudi, Ali
    [J]. AUTOMATICA, 2019, 102 : 19 - 26
  • [2] Adaptive neural network dynamic surface control of uncertain strict-feedback nonlinear systems with unknown control direction and unknown actuator fault
    Deng, Xiongfeng
    Zhang, Chen
    Ge, Yuan
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (09): : 4054 - 4073
  • [3] Adaptive Fuzzy Finite-Time Tracking Control of Stochastic High-Order Nonlinear Systems With a Class of Prescribed Performance
    Fu, Zhumu
    Wang, Nan
    Song, Shuzhong
    Wang, Tong
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (01) : 88 - 96
  • [4] Cooperative fault-tolerant tracking control of heterogeneous hybrid-order mechanical systems with actuator and amplifier faults
    Li, Xiaojie
    Shi, Peng
    [J]. NONLINEAR DYNAMICS, 2019, 98 (01) : 447 - 462
  • [5] Adaptive Fuzzy Prescribed Performance Control of Nontriangular Structure Nonlinear Systems
    Li, Yongming
    Shao, Xinfeng
    Tong, Shaocheng
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (10) : 2416 - 2426
  • [6] Adaptive asymptotic tracking control of uncertain nonlinear systems with input quantization and actuator faults
    Li, Yuan-Xin
    Yang, Guang-Hong
    [J]. AUTOMATICA, 2016, 72 : 177 - 185
  • [7] Adaptive finite-time prescribed performance control for stochastic nonlinear systems with unknown virtual control coefficients
    Liu, Cungen
    Gao, Chuang
    Liu, Xiaoping
    Wang, Huanqing
    Zhou, Yucheng
    [J]. NONLINEAR DYNAMICS, 2021, 104 (04) : 3655 - 3670
  • [8] Fuzzy tracking control for nonlinear multi-agent systems with actuator faults and unknown control directions
    Liu, Guangliang
    Zhou, Qi
    Zhang, Yanhui
    Liang, Hongjing
    [J]. FUZZY SETS AND SYSTEMS, 2020, 385 (385) : 81 - 97
  • [9] Adaptive Fuzzy Prescribed Finite-Time Tracking Control for Nonlinear System With Unknown Control Directions
    Liu, Yang
    Zhang, Huaguang
    Wang, Yingchun
    Ren, He
    Li, Qiaochu
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (06) : 1993 - 2003
  • [10] Event Trigger Fuzzy Adaptive Compensation Control of Uncertain Stochastic Nonlinear Systems With Actuator Failures
    Liu, Zhi
    Wang, Jianhui
    Chen, C. L. Philip
    Zhang, Yun
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (06) : 3770 - 3781