Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form

被引：340
|
作者：
Wang, D [1 ]
Huang, J [1 ]
机构：
[1] Chinese Univ Hong Kong, Dept Automat & Comp Aided Engn, Shatin, Hong Kong, Peoples R China
来源：
AUTOMATICA | 2002年 / 38卷 / 08期
关键词：
adaptive control; neural networks; nonlinear control; uncertainty; pure-feedback systems;
D O I：
10.1016/S0005-1098(02)00034-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A procedure is developed for the design of adaptive neural network controller for a class Of SISO uncertain nonlinear systems in pure-feedback form. The design procedure is a combination of adaptive backstepping and neural network based design techniques. It is shown that, under appropriate assumptions, the solution of the closed-loop system is uniformly ultimately bounded. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：1365 / 1372
页数：8
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