Title :
GA to optimize approximate solutions of fuzzy relational equations for fuzzy systems or controllers
Author :
Negoita, Mircea Gh ; Giuclea, Marius ; Dediu, Horia
Author_Institution :
Inst. of Microtechnol., Neural Networks & Soft Comput., Bucharest, Romania
Abstract :
A GA (genetic algorithm) method for discrete time fuzzy model identification is proposed. The approach consists of three levels of optimization in order to minimize a quadratic performance index. Two numerical examples prove the applicability of this simultaneous optimization of the mentioned levels by GA
Keywords :
discrete time systems; fuzzy control; fuzzy logic; fuzzy systems; genetic algorithms; identification; approximate solution optimisation; discrete time fuzzy model identification; fuzzy controllers; fuzzy relational equations; fuzzy systems; genetic algorithm; quadratic performance index minimisation; simultaneous optimization; Computer networks; Control systems; Equations; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Neural networks; Performance analysis; Shape;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499455
