DocumentCode
1436026
Title
GA-based predictive control for nonlinear processes
Author
Shin, S.C. ; Park, S.B.
Author_Institution
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Volume
34
Issue
20
fYear
1998
fDate
10/1/1998 12:00:00 AM
Firstpage
1980
Lastpage
1981
Abstract
The control problem of nonlinear processes is handled by using a GA-based optimisation technique. A three-layered neural network is used to generate future predicted outputs of the controlled process. Level control of a simulated tank is presented to demonstrate the effectiveness of the proposed method
Keywords
genetic algorithms; level control; multilayer perceptrons; neurocontrollers; nonlinear control systems; predictive control; GA-based optimisation technique; GA-based predictive control; level control; nonlinear processes; predicted outputs; simulated tank; three-layered neural network;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19981368
Filename
722067
Link To Document