Design of Fuzzy Control Systems with Different PSO Variants
作者： Resffa Fierro , Oscar Castillo
DOI: 10.1007/978-3-642-33021-6_6
关键词: Clamping 、 Benchmark (computing) 、 Metaheuristic 、 Multi-swarm optimization 、 Swarm behaviour 、 Mathematical optimization 、 Inertia 、 Inverted pendulum 、 Fuzzy control system 、 Control theory 、 Computer science
摘要: This paper describes the metaheuristic of Optimization by Swarm Particles (PSO-Particle Optimization) and its variants (Clamping speed, inertia constriction coefficient) as an optimization strategy to design membership functions Benchmark Control Cases (Tank water Inverted Pendulum) Each have their own advantages within algorithm because they allow exploration exploitation in different ways this allows us find optimum.
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