The stability of a class of nonlinear system using radial basis neural networks

被引：0

作者：

Li Zili ^{[1
]}

Chen Zenqiang ^{[1
]}

Yuan Zhuzhi ^{[1
]}

机构：

[1] Nankai Univ, Dept Automat, Tianjin 300071, Peoples R China

来源：

2006 CHINESE CONTROL CONFERENCE, VOLS 1-5 | 2006年

关键词：

nonlinear system; time-delay system; robust stability; RBF neural networks; Lyapunov function;

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：

This paper researches the robust control stabilization problem of a continuons nonlinear system with time-invarying delays in the state vector. A sufficient condition of the system stabilization is achieved through radial basis neural network (RBF) approximating unknown function, and an adaptive neural controller of time-delay independent is obtained. A good result is got for the stabilization control of the large time-delay system.

引用

页码：1994 / +

页数：2

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