Hybrid geno-fuzzy controllers

Author

Dumitrache, Ion ; Buiu, Catalin

Author_Institution

Dept. of Intelligent Control & Bioeng., Bucharest Polytech. Univ., Romania

Volume

3

fYear

1995

fDate

22-25 Oct 1995

Firstpage

2034

Abstract

New methods for designing and analyzing fuzzy controllers are required. Some architectures for integrating genetic algorithms with fuzzy logic controllers, the so called hybrid geno-fuzzy controllers, are introduced and discussed. A new hybrid geno-fuzzy controller based on the algebraic model of the fuzzy controller is proposed. Genetic algorithms are shown to be able to deduce the algebraic model of a simple fuzzy controller used for controlling a truck backer-upper system. The genetic algorithm is further used to tune the coefficients of the deduced algebraic model. The presented results indicate that the hybrid geno-fuzzy controller is superior to a conventional fuzzy controller

Keywords

control system analysis; control system synthesis; fuzzy control; fuzzy logic; genetic algorithms; tuning; algebraic model; fuzzy logic controllers; genetic algorithms; hybrid geno-fuzzy controllers; truck backer-upper system; Biological cells; Fuzzy control; Fuzzy logic; Genetic algorithms; Genetic mutations; Intelligent control; Neural networks; Optimal control; Search methods; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538078

Filename

538078