Switching Adaptive Control of a Class of Non-affine Nonlinear Systems

被引：0
|
作者：
Liu Xiangbin [1 ]
Hou Zhongsheng [1 ]
Jin Shangtai [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Adv Control Syst Lab, Beijing 100044, Peoples R China
来源：
2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年
关键词：
non-affine nonlinear system; adaptive neural networks control; model-free adaptive control; switching control; NONPARAMETRIC UNCERTAINTIES; LEARNING CONTROL; NEURAL-NETWORK; DISCRETE-TIME;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a performance-oriented switching adaptive control based on adaptive neural networks control and model-free adaptive control is proposed for a class of non-affine discrete time nonlinear systems. The method is composed of adaptive neural networks control, model-free adaptive control and a switching mechanism. The adaptive neural networks control ensures the transit performance and the model-free adaptive control is used to improve the final tracking performance. Switching scheme orchestrating between the two adaptive control algorithms can guarantee both the stability of controlled system and the control performance simultaneously. Stability and convergence analysis are given for the closed-loop system as well. Finally, simulation examples is presented to illustrate the effectiveness of the presented methods.
引用
收藏
页码：2986 / 2991
页数：6
相关论文
共 17 条
  • [1] BATTISTELLI G, 2008, 48 IEEE C DEC CONTR, P805
  • [2] Unfalsified Adaptive Switching Supervisory Control of Time Varying Systems
    Battistelli, Giorgio
    Hespanha, Joao
    Mosca, Edoardo
    Tesi, Pietro
    [J]. PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 805 - 810
  • [3] Model-free adaptive control design using evolutionary-neural compensator
    Coelho, Leandro dos Santos
    Pessoa, Marcelo Wicthoff
    Sumar, Rodrigo Rodrigues
    Rodrigues Coelho, Antonio Augusto
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (01) : 499 - 508
  • [4] Feedback-linearization-based neural adaptive control for unknown nonaffine nonlinear discrete-time systems
    Deng, Hua
    Li, Han-Xiong
    Wu, Yi-Hu
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2008, 19 (09): : 1615 - 1625
  • [5] Ge S. S., 2013, Stable Adaptive Neural Network Control
  • [6] Adaptive predictive control using neural network for a class of pure-feedback systems in discrete time
    Ge, Shuzhi Sam
    Yang, Chenguang
    Lee, Tong Heng
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2008, 19 (09): : 1599 - 1614
  • [7] Adaptive MNN control for a class of non-affine NARMAX systems with disturbances
    Ge, SS
    Zhang, J
    Lee, TH
    [J]. SYSTEMS & CONTROL LETTERS, 2004, 53 (01) : 1 - 12
  • [8] Neural network adaptive robust control of nonlinear systems in semi-strict feedback form
    Gong, JQ
    Yao, B
    [J]. AUTOMATICA, 2001, 37 (08) : 1149 - 1160
  • [9] Goodwin G. C., 1984, Adaptive filtering prediction and control
  • [10] HOU Z S, IEEE T CONT IN PRESS
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