Regresar

Particle swarm optimization-based fuzzy pbkp_redictive control strategy

Abstract:

Particle Swarm Optimization (PSO) is proposed as an efficient tool for the design of fuzzy pbkp_redictive control (FPC) strategies. The performance of the proposed method is evaluated in terms of accuracy and computational time. PSO is compared with other evolutionary algorithms such as simple genetic algorithms and niching genetic algorithms. Simulation results that validate the proposed FPC-PSO scheme are presented for a benchmark non-linear series. © 2006 IEEE.

Año de publicación:

2006

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Algoritmo
    • Algoritmo
    • Teoría de control

    Áreas temáticas:

    • Métodos informáticos especiales

    Contribuidores:

    Estévez P.A.Estévez P.A.
    Doris A. SaezDoris A. Saez
    Solís J.Solís J.