Title :
A new approach to fuzzy controller designing and coding via genetic algorithms
Author :
Rojas, I. ; Merelo, J.J. ; Bernier, J.L. ; Prieto, A.
Author_Institution :
Dept. de Electron. y Tecnologia de Computadores, Granada Univ., Spain
Abstract :
Examines the applicability of genetic algorithms to fuzzy controller optimization and presents a methodology to simultaneously design membership functions and rule sets for them. We propose a new approach to fuzzy controller coding via genetic algorithms which achieves a reduction in the number of parameters that define the membership functions, and a better understanding of the resulting system with no loss of efficiency
Keywords :
control system CAD; fuzzy control; fuzzy systems; genetic algorithms; temperature control; thermostats; coding; controller optimization; fuzzy controller; genetic algorithms; membership functions; Algorithm design and analysis; Automatic control; Biological cells; Control systems; Design optimization; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.619766
