Adaptive Output-feedback Regulation for Nonlinear Delayed Systems Using Neural Network

被引：6
|
作者：
Wei-Sheng Chen Jun-Min Li Department of Applied Mathematics
机构：
来源：
International Journal of Automation & Computing | 2008年 / 01期
基金：
中国国家自然科学基金;
关键词：
Adaptive; neural network(NN); output-feedback; nonlinear time-delay systems; backstepping;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel adaptive neural network(NN)output-feedback regulation algorithm for a class of nonlinear time-varying time- delay systems is proposed.Both the designed observer and controller are independent of time delay.Different from the existing results, where the upper bounding functions of time-delay terms are assumed to be known,we only use an NN to compensate for all unknown upper bounding functions without that assumption.The proposed design method is proved to be able to guarantee semi-global uniform ultimate boundedness of all the signals in the closed system,and the system output is proved to converge to a small neighborhood of the origin.The simulation results verify the effectiveness of the control scheme.
引用
收藏
页码：103 / 108
页数：6
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