Design of Fuzzy Control Systems with Different PSO Variants

  • Resffa Fierro
  • Oscar Castillo
Part of the Studies in Computational Intelligence book series (SCI, volume 451)

Abstract

This paper describes the metaheuristic of Optimization by Swarm of Particles (PSO-Particle Swarm Optimization) and its variants (Clamping speed, inertia and constriction coefficient) as an optimization strategy to design the membership functions of Benchmark Control Cases (Tank water and Inverted Pendulum) Each of the variants have their own advantages within the algorithm because they allow the exploration and exploitation in different ways and this allows us to find the optimum.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Resffa Fierro
    • 1
  • Oscar Castillo
    • 1
  1. 1.Tijuana Institute of TechnologyTijuanaMéxico

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