Abstract
In this paper we describe the application of a Particle Swarm Optimization (PSO) algorithm as a method of optimization for membership functions’ parameters of a fuzzy logic controller (FLC) in order to find the optimal intelligent controller for an Autonomous Wheeled Mobile Robot. Simulations results show that PSO is able to optimize the tipe-1 and type-2 FLCs for this application.
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Martínez-Marroquín, R., Castillo, O., Soria, J. (2009). Particle Swarm Optimization Applied to the Design of Type-1 and Type-2 Fuzzy Controllers for an Autonomous Mobile Robot. In: Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04516-5_15
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DOI: https://doi.org/10.1007/978-3-642-04516-5_15
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