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
fDate :
10/1/1998 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19981368
