Adaptive tracking controller design of nonlinear systems with time delays and unknown dead-zone input

被引:146
|
作者
Hua, Chang-Chun [1 ,2 ]
Wang, Qing-Guo [3 ]
Guan, Xin-Ping [1 ,2 ]
机构
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[3] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 119260, Singapore
基金
中国国家自然科学基金;
关键词
adaptive control; dead-zone input; Lyapunov functional; time-delay systems;
D O I
10.1109/TAC.2008.928324
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 focuses on the tracking control problem for a class of nonlinear system with time delays and dead-zone input. The nonsymmetric dead-zone input case is considered without the knowledge of the dead zone parameters. The time delay uncertainties are bounded by a nonlinear function with unknown coefficients. By constructing a novel Lyapunov functional, we design a simple and smooth adaptive state feedback controller. It is shown that the solution of the resulting closed-loop error system converges to an adjustable region exponentially. Finally, numerical examples are included to show the effectiveness of the theoretical results.
引用
收藏
页码:1753 / 1759
页数:7
相关论文
共 50 条
  • [21] Adaptive NN Tracking Control of Uncertain Nonlinear Discrete-Time Systems With Nonaffine Dead-Zone Input
    Liu, Yan-Jun
    Tong, Shaocheng
    IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (03) : 497 - 505
  • [22] Adaptive fuzzy control for a class of nonlinear systems with unknown dead-zone
    Zhang, Tianping
    Wang, Zhengqun
    Yi, Yang
    Yang, Yuequan
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3862 - +
  • [23] Adaptive Fuzzy Control for MIMO Nonlinear Systems with Unknown Dead-Zone
    Boulkroune, A.
    M'Saad, M.
    Tadjine, M.
    Farza, M.
    2008 4TH INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 204 - +
  • [24] A Neural Network Approach for Tracking Control of Uncertain Switched Nonlinear Systems with Unknown Dead-Zone Input
    Yu, Lei
    Fei, Shumin
    Yang, Gang
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2015, 34 (08) : 2695 - 2710
  • [25] A Neural Network Approach for Tracking Control of Uncertain Switched Nonlinear Systems with Unknown Dead-Zone Input
    Lei Yu
    Shumin Fei
    Gang Yang
    Circuits, Systems, and Signal Processing, 2015, 34 : 2695 - 2710
  • [26] Adaptive Control of Noncanonical Neural-Network Nonlinear Systems With Unknown Input Dead-Zone Characteristics
    Lai, Guanyu
    Tao, Gang
    Zhang, Yun
    Liu, Zhi
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (09) : 3346 - 3360
  • [27] Robust adaptive tracking control for nontriangular time-delay nonlinear systems with input dead-zone and multiple uncertainties
    Xue, Lingrong
    Liu, Zhen-Guo
    Wu, Yuqiang
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2020, 34 (07) : 857 - 876
  • [28] Robust output tracking of uncertain nonlinear systems with completely unknown dead-zone input: A self-tuning design approach
    Wu, Hansheng
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2016, 30 (11) : 1627 - 1642
  • [29] 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
  • [30] Efficient adaptive tracking of a class of uncertain nonlinear systems with completely unknown symmetric dead-zone inputs
    Ibrir, Salim
    Xie, Wen Fang
    Su, Chun-Yi
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 2358 - +