An efficient computational method to implement type-2 fuzzy logic in control applications

Roberto Sepúlveda, Oscar Castillo, Patricia Melin, Oscar Montiel

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

96 Citas (Scopus)

Resumen

A novel structure of type 2 fuzzy logic controller is presented. The method is highly efficient regarding computational time and implementation effort. Type-2 input membership functions were optimized using the Human Evolutionary Model (HEM) considering as the objective function the Integral of Squared Error at the controllers output. Statistical tests were achieved considering how the error at the controller's output is diminished in presence of uncertainty, demonstrating that the proposed method outperforms an optimized traditional type-2 fuzzy controller for the same test conditions.

Idioma originalInglés
Título de la publicación alojadaAnalysis and Design of Intelligent Systems using Soft Computing Techniques
EditoresPatricia Melin, Eduardo Gomez Ramirez, Janusz Kacprzyk, Witold Pedrycz
Páginas45-52
Número de páginas8
DOI
EstadoPublicada - 2007

Serie de la publicación

NombreAdvances in Soft Computing
Volumen41
ISSN (versión impresa)1615-3871
ISSN (versión digital)1860-0794

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