DocumentCode :
498360
Title :
Neural Network Identification Method Applied to the Nonlinear System
Author :
Liu, Bo ; Li, Huiguang ; Wu, Tihua
Author_Institution :
Yanshan Univ., Qinhuangdao, China
Volume :
4
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
120
Lastpage :
124
Abstract :
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 on-linear process system with time delay.
Keywords :
content-addressable storage; delays; fuzzy neural nets; neurocontrollers; nonlinear control systems; associative memory neural network; fuzzy neural network control; inverse identification structure; neural network identification; neural network identifier; nonlinear process control system; on-linear process system; time delay; Associative memory; Computer simulation; Control system synthesis; Delay effects; Fuzzy control; Fuzzy neural networks; Neural networks; Nonlinear control systems; Nonlinear systems; Process control; associative memory neural network; identification; non-linear system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.446
Filename :
5209331
Link To Document :
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