Direct adaptive NN control for a class of discrete-time nonlinear strict-feedback systems

被引：43
|
作者：
Liu, Yan-Jun [1 ]
Wen, Guo-Xing [1 ]
Tong, Shao-Cheng [1 ]
机构：
[1] Liaoning Univ Technol, Sch Sci, Jinzhou 121001, Liaoning, Peoples R China
来源：
NEUROCOMPUTING | 2010年 / 73卷 / 13-15期
关键词：
Neural networks; Adaptive control; Nonlinear systems; GROSSBERG NEURAL-NETWORKS; ROBUST STABILITY; TRACKING CONTROL;
D O I：
10.1016/j.neucom.2010.06.001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on the backstepping technique, a direct adaptive neural network control algorithm is proposed for a class of uncertain nonlinear discrete-time systems in the strict-feedback form. Neural networks are utilized to approximate unknown functions, and a stable adaptive neural backstepping controller is synthesized. It is proven that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) and the tracking error converges to a small neighborhood of zero by choosing the design parameters appropriately. Compared with the existing results for discrete-time systems, the proposed algorithm needs only less parameters to be adjusted online, therefore, it can reduce online computation burden. A simulation example is employed to illustrate the effectiveness of the proposed algorithm. Crown Copyright (C) 2010 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：2498 / 2505
页数：8
相关论文
共 50 条
  • [31] Adaptive control of discrete-time dynamics in parametric strict-feedback form
    Madani, A
    Monaco, S
    NormandCyrot, D
    PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1996, : 2659 - 2664
  • [32] Model-Based Event-Triggered Control of a Class of Strict-Feedback Nonlinear Discrete-Time Systems
    Wang, Min
    Ou, Fenghua
    Huang, Longwang
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 2949 - 2954
  • [33] Adaptive NN output-feedback stabilization for a class of stochastic nonlinear strict-feedback systems
    Li, Jing
    Chen, Weisheng
    Li, Junmin
    Fang, Yiqi
    ISA TRANSACTIONS, 2009, 48 (04) : 468 - 475
  • [34] Adaptive Control with Nearest-neighbor Previous Instant Compensation for Discrete-time Nonlinear Strict-feedback Systems
    Yang, Chenguang
    Ma, Hongbin
    Xu, Bin
    Fu, Mengyin
    2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 1913 - 1918
  • [35] An NN-Based Robust Adaptive Control Approach for a Class of Uncertain Strict-Feedback Nonlinear Systems
    Sun, Gang
    Wang, Mingxin
    FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2014, : 221 - 226
  • [36] A new discrete-time robust adaptive time-delay control for a class of uncertain nonlinear strict-feedback systems using sliding mode
    Mohammadpour, Omid
    Tavasoli, Ali
    ISA TRANSACTIONS, 2019, 93 : 40 - 54
  • [37] Adaptive Asymptotic Tracking Control of Strict-Feedback Nonlinear Discrete-Time System with Periodic Time Delay
    Yang, Chenguang
    Xu, Bin
    Ma, Hongbin
    Culverhouse, Phil
    2012 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), 2012, : 1310 - 1315
  • [38] Adaptive Neural Control for a Class of Strict-Feedback Nonlinear Systems With State Time Delays
    Yoo, Sung Jin
    Park, Jin Bae
    Choi, Yoon Ho
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2009, 20 (07): : 1209 - 1215
  • [39] Observer-based Adaptive Neural Network Output-feedback Control for Nonlinear Strict-feedback Discrete-time Systems
    Xu, Wenqi
    Liu, Xiaoping
    Wang, Huanqing
    Zhou, Yucheng
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2021, 19 (01) : 267 - 278
  • [40] Robust adaptive control for a class of uncertain strict-feedback nonlinear systems
    Hong, F.
    Ge, S. S.
    Ren, B.
    Lee, T. H.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2009, 19 (07) : 746 - 767
12345