Asymptotic tracking of a class of uncertain nonlinear systems in strict-feedback form

被引：0
|
作者：
Wang, D [1 ]
Huang, J [1 ]
机构：
[1] Chinese Univ Hong Kong, Dept Automat & Comp Aided Engn, Hong Kong, Hong Kong, Peoples R China
来源：
SYSTEM STRUCTURE AND CONTROL 2001, VOLS 1 AND 2 | 2001年
关键词：
adaptive control; neural networks; nonlinear control; strict-feedback systems;
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：
Recently adaptive neural network controllers for a class of high uncertain nonlinear systems in strict-feedback form have been developed using the backstepping technique. The resulting closed-loop system is shown to be ultimately uniformly stable with bounded tracking error. In this paper, we will present a modified design technique, which guarantees the convergence of the tracking error to zero. Copyright (C) 2001 IFAC.
引用
收藏
页码：603 / 607
页数：5
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