Multi-objective evolutionary technique based intelligent controllers: application to control of multivariable nonlinear systems

Author

Rahmati, Abdolreza ; Rashidi, Farzan

Author_Institution

Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran

Volume

4

fYear

2004

fDate

10-13 Oct. 2004

Firstpage

3704

Abstract

The main objective of this paper is to present a new method based on multi-objective evolutionary algorithm for control of the multivariable and nonlinear systems. Problem design considers time domain specifications such as overshoot, rising time, settling time and stationary error as well as interaction effects. Genetic algorithms are employed to satisfy time domain design specifications that are not considered in an explicit way in the standard nonlinear control theory. Adaptation, set point tracking and satisfaction of temporary response specifications are the advantages of this method that be shown by some simulations.

Keywords

control system synthesis; evolutionary computation; intelligent control; multivariable control systems; nonlinear control systems; genetic algorithms; intelligent controller; multi-objective evolutionary technique; multivariable system; nonlinear control system; Algorithm design and analysis; Control systems; Evolutionary computation; Genetic algorithms; Heat engines; Humidity; Nonlinear control systems; Nonlinear systems; Space heating; Water heating;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2004 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-8566-7

Type

conf

DOI

10.1109/ICSMC.2004.1400919

Filename

1400919