Adaptive neural dynamic surface control for a class of uncertain nonlinear systems with disturbances

被引：18
|
作者：
Cui, Yang [1 ]
Zhang, Huaguang [1 ]
Wang, Yingchun [1 ]
Zhang, Zhao [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
来源：
NEUROCOMPUTING | 2015年 / 165卷
基金：
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词：
Dynamic surface control; RBF neural networks; Tracking control; Strict-feedback; Disturbances; DISCRETE-TIME; BACKSTEPPING CONTROL; STABILITY ANALYSIS; TRACKING CONTROL; FUZZY CONTROL; NN CONTROL; NETWORKS; ROBUST; DELAYS; DESIGN;
D O I：
10.1016/j.neucom.2015.03.004
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, adaptive dynamic surface control is investigated for a class of uncertain nonlinear systems with unknown bounded disturbances in strict-feedback form. Dynamic surface control technique is connected with radial basis function neural networks (RBFNNs) based control framework to avoid the explosion problem of complexity. The composite laws are constructed by prediction error and compensated tracking error between system state and serial-parallel estimation model for NN weights updating. Using Lyapunov techniques, the uniformly ultimate boundedness stability of all the signals in the closed-loop systems is guaranteed. Simulation results illustrate the superiority of the proposed scheme and verify the theoretical analysis. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：152 / 158
页数：7
相关论文
共 50 条
  • [31] Adaptive support vector regression modeling and dynamic surface control of a class of uncertain nonlinear systems
    Chen Q.
    Lou C.-L.
    Nan Y.-R.
    Tao L.
    Kongzhi yu Juece/Control and Decision, 2019, 34 (01): : 63 - 71
  • [32] Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation
    Chen, Mou
    Tao, Gang
    Jiang, Bin
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (09) : 2086 - 2097
  • [33] Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form
    Wang, D
    Huang, J
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2005, 16 (01): : 195 - 202
  • [34] Guaranteed cost neural tracking control for a class of uncertain nonlinear systems using adaptive dynamic programming
    Yang, Xiong
    Liu, Derong
    Wei, Qinglai
    Wang, Ding
    NEUROCOMPUTING, 2016, 198 : 80 - 90
  • [35] Adaptive Anti-Disturbance Control for a Class of Uncertain Nonlinear Systems With Composite Disturbances
    Wang, Chenliang
    Guo, Lei
    Wen, Changyun
    Zhu, Yukai
    Qiao, Jianzhong
    IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (07) : 4241 - 4254
  • [36] Adaptive Dynamic Surface Control Design for Uncertain Nonlinear Strict-Feedback Systems With Unknown Control Direction and Disturbances
    Ma, Hui
    Liang, Hongjing
    Zhou, Qi
    Ahn, Choon Ki
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 49 (03): : 506 - 515
  • [37] Adaptive Neural Network Control for Nonlinear Uncertain Systems with High-Frequency Disturbances
    Miao, Kuangwei
    Li, Sihan
    Li, Qian
    Yang, Qinmin
    Cheng, Peng
    2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 1208 - 1213
  • [38] Adaptive Dynamic Surface Control for Uncertain Nonlinear Systems With Unknown Control Directions
    Xu, Ruohan
    Wang, Qingling
    Sun, Changyin
    2020 35TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2020, : 44 - 49
  • [39] Adaptive Neural Network Control for a Class of Uncertain Nonlinear Systems with Unknown Control Directions
    Chen, Gang
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 7853 - 7858
  • [40] Robust Adaptive Fuzzy Dynamic Surface Control of Uncertain Nonlinear for Systems
    Li, Yongming
    Tong, Shaocheng
    Liu, Yanjun
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 5019 - 5024
12345