Abstract
In this chapter we study the automatic design of type-2 non-singleton fuzzy logic controller. To test the controller we use an autonomous mobile robot for the trajectory tracking control. We take the basis of the interval type-2 fuzzy logic controller of previous work for the extension to the type-2 non-singleton fuzzy logic controller. A genetic algorithm is used to obtain an automatic design of the type-2 non-singleton fuzzy logic controller (NSFLC). Simulation results are obtained with Simulink showing the behavior of the mobile robot whit this type of controller.
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Martínez-Soto, R., Castillo, O., Castro, J.R. (2014). Genetic Algorithm Optimization for Type-2 Non-singleton Fuzzy Logic Controllers. In: Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-319-05170-3_1
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DOI: https://doi.org/10.1007/978-3-319-05170-3_1
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