Evolutionary optimization of type-2 fuzzy logic systems applied to linear plants

Ricardo Martinez, Oscar Castillo, Luis T. Aguilar, Antonio Rodriguez

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

Abstract

We describe a different kind of evolutionary methods to optimize a type-2 fuzzy logic controller (FLC) applied to linear plants. The evolutionary method used is a genetic algorithm to find the optimal FLC for the plant control. The plant receives a linear signal of input controlled by an optimized FLC, obtaining as result the control and the stability of the plant. Simulations results were made in Simulink showing the effectiveness of the proposal.

Original languageEnglish
Title of host publicationEvolutionary Design of Intelligent Systems in Modeling, Simulation and Control
EditorsOscar Castillo, Witold Pedrycz, Janusz Kacprzyk
Pages17-31
Number of pages15
DOIs
StatePublished - 2009
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume257
ISSN (Print)1860-949X

Fingerprint

Dive into the research topics of 'Evolutionary optimization of type-2 fuzzy logic systems applied to linear plants'. Together they form a unique fingerprint.

Cite this