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