Definite neural modeling method for time-varying large delay system

被引:0
|
作者
Pan, F [1 ]
Han, RC [1 ]
Zhi, ZY [1 ]
Zuo, L [1 ]
Liu, HB [1 ]
机构
[1] Taiyuan Univ Sci & Technol, Elect Coll, Taiyuan 030024, Peoples R China
来源
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年
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
A modeling method based on Neuron and RBF neural network for time-varying delay system is presented. Neuron is applied to identify the delay of system; RBF neural network is used to identify other time-varying parameters, for delay has been separated from other parameters, so the structure of RBF neural network is simple, and the training of RBF neural network is quickly. These two neural methods is serial, and training with the same cost function. Because the training time is short, this method can be used in on-tine identification of nonlinear delay system.
引用
收藏
页码:948 / 950
页数:3
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