Robust nonlinear control design using competitive coevolution

Author

Claverie, Jean M. ; De Jong, Kenneth ; Sheta, Alaa F.

Author_Institution

Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

403

Abstract

A novel approach to design robust nonlinear control laws for dynamic systems that are not in canonical form or unknown is introduced. A competitive coevolutionary algorithm is used to design a sliding mode controller based on an approximate model of both the system and uncertainties. The power of evolutionary computation leads to a systematic convergence on accurate nominal model based controllers and the use of competitive coevolution offers a new method to handle model uncertainties with a sliding control structure

Keywords

competitive algorithms; control system CAD; evolutionary computation; nonlinear control systems; robust control; uncertain systems; variable structure systems; competitive coevolutionary algorithm; convergence; dynamic systems; evolutionary computation; nominal model based controllers; robust nonlinear control design; sliding mode controller; uncertainty; Algorithm design and analysis; Control design; Control systems; Evolutionary computation; Nonlinear control systems; Nonlinear dynamical systems; Power system modeling; Robust control; Sliding mode control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2000. Proceedings of the 2000 Congress on

Conference_Location

La Jolla, CA

Print_ISBN

0-7803-6375-2

Type

conf

DOI

10.1109/CEC.2000.870324

Filename

870324