Abstract
This chapter describes the application of the optimization algorithm for particle swarm known by its acronym as PSO, used to adjust the parameters of membership functions of a fuzzy logic controller (FLC) to find the optimal intelligent control for a wheeled autonomous mobile robot [47]. Results of several simulations show that the PSO is able to optimize the type-1 and type 2 FLC for this specific application [15].
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© 2012 Springer-Verlag Berlin Heidelberg
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Castillo, O. (2012). Optimization of an Interval Type 2 Fuzzy Controller for an Autonomous Mobile Robot Using the Particle Swarm Optimization Algorithm. In: Type-2 Fuzzy Logic in Intelligent Control Applications. Studies in Fuzziness and Soft Computing, vol 272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24663-0_13
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DOI: https://doi.org/10.1007/978-3-642-24663-0_13
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-24663-0
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