Neural Networks Sliding Mode Control for a Class of Switched Nonlinear Systems

被引：0
|
作者：
Zhang, Sheng [1 ]
Long, Fei [1 ]
机构：
[1] Guizhou Univ, Coll Comp Sci & Informat Engn, Guiyang 550025, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS | 2009年 / 5552卷
关键词：
Neural Networks Control; Switched Nonlinear Systems; Sliding Mode Control and Adaptive Tracking Control; ADAPTIVE-CONTROL;
D O I：
暂无
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, based on RBF neural network, an adaptive tracking control scheme is given for a class of switched nonlinear systems under the arbitrary switching. The neural networks are used to approximate the unknown part of the switched nonlinear systems, and its outputs are used as the parameters of the controller to compensate for the effects of system uncertainties. Using this scheme, the error between the plant output and the desired reference output can asymptotically converge to zero under the arbitrary switching.
引用
收藏
页码：1032 / 1039
页数：8
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