Adaptive neural control of nonlinear systems

被引：0
|
作者：
Baruch, I
Flores, JM
Thomas, F
Garrido, R
机构：
[1] IPN, CINVESTAV, Mexico City 07360, DF, Mexico
[2] UPC, IRI, Barcelona, Spain
来源：
ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS | 2001年 / 2130卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of the present paper is to integrate a recurrent neural network in two schemes of real-time soft computing neural control. There are applied the following control schemes: an indirect and a direct trajectory tracking control, using the state and parameter information, given by an identification recurrent neural network.
引用
收藏
页码：930 / 936
页数：7
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