• DocumentCode
    2145007
  • Title

    Type-2 Fuzzy Logic Controllers Optimization Using Genetic Algoritms and Particle Swarm Optimization

  • Author

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

  • Author_Institution
    UABC, Tijuana, Mexico
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    724
  • Lastpage
    727
  • 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 control; genetic algorithms; linear systems; optimal control; particle swarm optimisation; FLC; PSO; fuzzy logic controllers optimization; genetic algorithms; linear systems; optimal controller; particle swarm optimization; steady state error; Fuzzy logic; Fuzzy systems; Genetics; Linear systems; Mobile robots; Optimization; Particle swarm optimization; Fuzzy Logic Controllers; genetic algorithms; particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.43
  • Filename
    5576052
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2145007