Title :
Tuning and optimisation of membership functions of fuzzy logic controllers by genetic algorithms
Author :
Mohammadian, M. ; Stonier, R.J.
Author_Institution :
Dept. of Comput. Sci., Edith Cowan Univ., Perth, WA, Australia
Abstract :
A method is developed to tune and optimise the membership functions of fuzzy logic controllers by using genetic algorithms. The set of fuzzy If-Then rules and their membership functions of the truck back-upper problem is considered
Keywords :
fuzzy control; fuzzy set theory; genetic algorithms; optimal control; position control; road vehicles; tuning; fuzzy if-then rules; fuzzy logic controllers; genetic algorithms; membership functions; optimisation; position control; truck back-upper problem; tuning; Artificial neural networks; Centralized control; Computer science; Data mining; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Mathematics;
Conference_Titel :
Robot and Human Communication, 1994. RO-MAN '94 Nagoya, Proceedings., 3rd IEEE International Workshop on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2002-6
DOI :
10.1109/ROMAN.1994.365903
