@inproceedings{234ea0605f7844d49e8540160e7dda99,
title = "Type-2 fuzzy logic controllers optimization using genetic algoritms and particle swarm optimization",
abstract = "In this paper we apply bio-inspired optimization methods to design type-2 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 using benchmark plants. The bio-inspired methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller. Simulation results are implemented in Simulink showing the feasibility of the proposed approach.",
keywords = "Fuzzy logic controllers, Genetic algorithms, Particle swarm optimization",
author = "Ricardo Martinez and Antonio Rodriguez and Oscar Castillo and Aguilar, {Luis T.}",
year = "2010",
doi = "10.1109/GrC.2010.43",
language = "Ingl{\'e}s",
isbn = "9780769541617",
series = "Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010",
pages = "724--727",
booktitle = "Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010",
note = "2010 IEEE International Conference on Granular Computing, GrC 2010 ; Conference date: 14-08-2010 Through 16-08-2010",
}