Optimization of Membership Functions for Type-1 and Type 2 Fuzzy Controllers of an Autonomous Mobile Robot Using PSO
作者： San Juana Aguas-Marmolejo , Oscar Castillo
DOI: 10.1007/978-3-642-33021-6_8
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摘要: This paper describes the application of optimization algorithm based on particle swarms known by its acronym as PSO, used to adjust parameters membership functions a fuzzy logic controller (FLC) find optimal intelligent control for wheeled autonomous mobile robot. Results several simulations show that PSO is able optimize type-1 and type 2 FLCs this specific application.
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