Tuning rough controllers by genetic algorithms

Author

Chiu, Teresa ; Lin, T.Y.

Author_Institution

Dept. of Math. & Comput. Sci., San Jose State Univ., CA, USA

fYear

1996

fDate

11-14 Dec 1996

Firstpage

326

Lastpage

331

Abstract

A design process of intelligent control systems, called rough logic government, consists of a sequence of transformations of mathematical models of control systems. It is a modification of the design process of fuzzy controllers using rough sets, rough logic, and evolutionary computing. Rough logic government starts with a symbolic model, called rough linguistic model, and concludes with tedious experiments. The final mathematical structure is called rough verification and validation model. In this paper, genetic algorithm is used to partially automate the final step, and experiments from various angles are conducted and analyzed

Keywords

controllers; fuzzy control; genetic algorithms; intelligent control; tuning; design process; evolutionary computing; fuzzy controllers; genetic algorithms; intelligent control systems; mathematical models; mathematical structure; rough controllers tuning; rough linguistic model; rough logic; rough logic government; rough sets; rough validation; rough verification; Control system synthesis; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetic algorithms; Government; Intelligent control; Logic design; Mathematical model; Process design;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian

Conference_Location

Kenting

Print_ISBN

0-7803-3687-9

Type

conf

DOI

10.1109/AFSS.1996.583624

Filename

583624