Fuzzy logic controllers optimization using genetic algorithms and particle swarm optimization

Ricardo Martinez-Soto, Oscar Castillo, Luis T. Aguilar, Patricia Melin

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

29 Citas (Scopus)

Resumen

In this paper we apply to Bio-inspired and evolutionary optimization methods to design fuzzy logic controllers (FLC) to minimize the steady state error of linear systems. We test the optimal FLC obtained by the genetic algorithms and the PSO applied on linear systems using benchmark plants. The bio-inspired and the evolutionary methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller. Simulation results are obtained with Simulink showing the feasibility of the proposed approach.

Idioma originalInglés
Título de la publicación alojadaAdvances in Soft Computing - 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Proceedings
Páginas475-486
Número de páginas12
EdiciónPART 2
DOI
EstadoPublicada - 2010
Evento9th Mexican International Conference on Artificial Intelligence, MICAI 2010 - Pachuca, México
Duración: 8 nov. 201013 nov. 2010

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 2
Volumen6438 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia9th Mexican International Conference on Artificial Intelligence, MICAI 2010
País/TerritorioMéxico
CiudadPachuca
Período8/11/1013/11/10

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