DocumentCode
1893356
Title
Evolutionary design of fuzzy logic controllers
Author
Cotta, Carlos ; Alba, Enrique ; Troya, J.M.
Author_Institution
Dept. de Lenguajes y Ciencias de la Computacion, Malaga Univ., Spain
fYear
1996
fDate
15-18 Sep 1996
Firstpage
127
Lastpage
132
Abstract
An evolutionary approach to fuzzy logic controller design is presented in this paper. We propose the use of a class of genetic algorithms to produce suboptimal fuzzy rule-bases (internally represented as constrained syntactic trees). This model has been applied to the cart centring problem. The obtained results show that a good parametrization of the algorithm and an appropriate evaluation function lead to near-optimal solutions
Keywords
control system synthesis; fuzzy control; fuzzy logic; fuzzy set theory; genetic algorithms; intelligent control; optimal control; cart centring problem; constrained syntactic trees; evolutionary design; fuzzy logic controllers; fuzzy set theory; genetic algorithms; genetic programming; optimal control; suboptimal fuzzy rule-bases; Application software; Control systems; Decision making; Fuzzy control; Fuzzy logic; Genetic algorithms; Genetic programming; Knowledge based systems; Performance analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location
Dearborn, MI
ISSN
2158-9860
Print_ISBN
0-7803-2978-3
Type
conf
DOI
10.1109/ISIC.1996.556189
Filename
556189
Link To Document