Neural Network Identification Method Applied to the Nonlinear System

被引：1
|
作者：
Liu, Bo [1 ]
Li, Huiguang [1 ]
Wu, Tihua [1 ]
机构：
[1] Yanshan Univ China, Qinhuangdao, Peoples R China
来源：
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL IV | 2009年
关键词：
D O I：
10.1109/GCIS.2009.446
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A kind of neural network solution method has been proposed in the paper aiming at a class of non-linear process control system with the characteristic of time delay In this scheme, a new-type associative memory neural network is used to model the controlled system, and the fuzzy neural network with inverse identification structure is adopted to control the nonlinear process system This fuzzy neural network control method adopts the structure of three layers combine neural network identifier with inverse structure Computer simulation and lab application show that it is effective to adopt this scheme to control non-linear process system with time delay.
引用
收藏
页码：120 / 124
页数：5
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