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

被引：345

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

页码：1365 / 1372

页数：8

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