Nonlinear adaptive inverse real time control based on hybrid Elman dynamic neural network

被引：0

作者：

Lu Zhigang ^{[1
]}

Ji Erkang ^{[1
]}

Li Wei ^{[1
]}

Zhou Ling ^{[1
]}

Wu Shichang ^{[1
]}

机构：

[1] Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Peoples R China

来源：

Proceedings of the 24th Chinese Control Conference, Vols 1 and 2 | 2005年

关键词：

hybrid Elman neural network; radial basis function; adaptive inverse control;

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：

Based on the properties of Elman dynamical recursive neural network, a hybrid Elman network containing radial basis function in its hidden layer is suggested in this paper, the structure of network and the learning method is given, then it is used in adaptive inverse control for nonlinear system. The simulation experiment shows that the network has higher control accuracy and adaptive learning ability. This method offers an ideal way of adaptive inverse control for nonlinear system.

引用

页码：980 / 982

页数：3