Hybrid genetic-fuzzy optimization of a type-2 fuzzy logic controller

Nohe Ramon Cazarez-Castro, Luis T. Aguilar, Oscar Castillo

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

22 Citas (Scopus)

Resumen

In this paper a Genetic - Type-2 Fuzzy approach is proposed to optimize the parameters of the Membership Functions (MFs) of a Type-2 Fuzzy Logic System (FLS) applied to control, we design a chromosome to represent the parameters of the MFs of a preestablished Type-2 FLS, design a fitness function and select genetic operators. A case of study is proposed to evaluate the optimization process, this is to achieve the output regulation problem of a servomechanism with backlash. The problem is the design of a type-2 fuzzy logic controller which will be optimized by a GA to obtain the closed-loop system in which the load of the driver is regulated to a desired position. Simulations results illustrate the effectiveness of the optimized closed-loop system.

Idioma originalInglés
Título de la publicación alojadaProceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
EditorialIEEE Computer Society
Páginas216-221
Número de páginas6
ISBN (versión impresa)9780769533261
DOI
EstadoPublicada - 2008
Publicado de forma externa
Evento8th International Conference on Hybrid Intelligent Systems, HIS 2008 - Barcelona, Espana
Duración: 10 sep. 200812 sep. 2008

Serie de la publicación

NombreProceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

Conferencia

Conferencia8th International Conference on Hybrid Intelligent Systems, HIS 2008
País/TerritorioEspana
CiudadBarcelona
Período10/09/0812/09/08

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