Title :
Control of nonlinear dynamical systems using genetic algorithms
Author :
Al-Duwaish, H.N. ; Bettayeb, M.
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. The proposed method formulates the nonlinear controller design as an optimization problem and genetic algorithms are used in the optimization process. Simulation examples are included to illustrate the performance and effectiveness of the proposed method
Keywords :
control system synthesis; genetic algorithms; nonlinear dynamical systems; genetic algorithms; nonlinear dynamical systems; optimization problem; Algorithm design and analysis; Autoregressive processes; Control systems; Design optimization; Dynamic programming; Genetic algorithms; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Optimal control;
Conference_Titel :
Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-4116-3
DOI :
10.1109/ISIC.1997.626542
