Memoryless disturbance-observer-based adaptive tracking of uncertain pure-feedback nonlinear time-delay systems with unmatched disturbances

被引:5
|
作者
Kim, Hyoung Oh [1 ]
Yoo, Sung Jin [1 ]
机构
[1] Chung Ang Univ, Sch Elect & Elect Engn, 84 Heukseok Ro, Seoul 156756, South Korea
基金
新加坡国家研究基金会;
关键词
Nonlinear disturbance observer (NDO); Adaptive tracking; Unknown time-varying delays; Memoryless; Unmatched external disturbances; DYNAMIC SURFACE CONTROL; DEAD-ZONE NONLINEARITY; NEURAL-CONTROL; MISMATCHED DISTURBANCES; FUZZY-APPROXIMATION; TRAJECTORY TRACKING; MOTION CONTROLLER; ROBUST CONTROLLER; INPUT DELAY; STABILIZATION;
D O I
10.1016/j.isatra.2017.07.017
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 presents a delay-independent nonlinear disturbance observer (NDO) design methodology for adaptive tracking of uncertain pure-feedback nonlinear systems in the presence of unknown time delays and unmatched external disturbances. Compared with all existing NDO-based control results for uncertain lower-triangular nonlinear systems where unknown time delays have been not considered, the main contribution of this paper is to develop a delay-independent design strategy to construct an NDO-based adaptive tracking scheme in the presence of unknown time-delayed nonlinearities and non-affine nonlinearities unmatched in the control input. The proposed delay-independent scheme is constructed by employing the appropriate Lyapunov-Krasovskii functionals and the same function approximators for the NDO and the controller. It is shown that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded and the tracking error converges to an adjustable neighborhood of the origin. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:419 / 431
页数:13
相关论文
共 50 条
  • [21] Adaptive control of uncertain pure-feedback nonlinear systems
    Hou, Mingzhe
    Deng, Zongquan
    Duan, Guangren
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (10) : 2137 - 2145
  • [22] Disturbance-observer-based adaptive command filtered control for uncertain nonlinear systems
    Yang, Xiaowei
    Deng, Wenxiang
    Yao, Jianyong
    ISA TRANSACTIONS, 2022, 130 : 490 - 499
  • [23] Adaptive neural control for a class of pure-feedback nonlinear time-delay systems with asymmetric saturation actuators
    Yu, Zhaoxu
    Li, Shugang
    Yu, Zhaosheng
    NEUROCOMPUTING, 2016, 173 : 1461 - 1470
  • [24] Fixed-Time Adaptive Neural Tracking Control for a Class of Uncertain Nonlinear Pure-Feedback Systems
    He, Cheng
    Wu, Jian
    Dai, Jiyang
    Zhe, Zhang
    Tong, Tianchi
    IEEE ACCESS, 2020, 8 (08): : 28867 - 28879
  • [25] Adaptive tracking control for a class of uncertain pure-feedback systems
    Liu, Yong-Hua
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2016, 26 (05) : 1143 - 1154
  • [26] Adaptive Neural Control of Pure-Feedback Nonlinear Time-Delay Systems via Dynamic Surface Technique
    Wang, Min
    Liu, Xiaoping
    Shi, Peng
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2011, 41 (06): : 1681 - 1692
  • [27] An improved adaptive neural asymptotic tracking control for pure-feedback nonlinear systems with disturbances
    Wang, Huanqing
    Zhao, Lingjia
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2025,
  • [28] Approximation-Based Fixed-Time Adaptive Tracking Control for a Class of Uncertain Nonlinear Pure-Feedback Systems
    He, Cheng
    Wu, Jian
    Dai, Jiyang
    Zhang, Zhe
    Xu, Libin
    Li, Pinwei
    COMPLEXITY, 2020, 2020
  • [29] Observer-Based Adaptive Fuzzy Backstepping Output Feedback Control of Uncertain MIMO Pure-Feedback Nonlinear Systems
    Tong, Shaocheng
    Li, Yongming
    Shi, Peng
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2012, 20 (04) : 771 - 785
  • [30] Adaptive Control of Uncertain Nonlinear Time-Delay Systems With External Disturbance
    Zhang, Zhengqiang
    Xu, Bin
    Tan, Cheng
    Ge, Shuzhi Sam
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (02): : 1288 - 1295