Optimization of a Type-2 Fuzzy Logic Controller

R. Martinez, O. Castillo, L. Aguilar, Optimization of type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms. Inf. Sd. 179-13, 2158-2174 (2009)... 

In the second stage, this chemical reaction algorithm will be applied to optimize the parameters of the membership functions of a Type-1 and Type-2 fuzzy logic controller for the tracking of a unicycle mobile robot. With this work, we pretend to demonstrate that this novel optimization paradigm is able to perform well in these specific topics and will encourage its use in different soft computing approaches. 

As future work, the parameters used to optimize the Type-2 fuzzy logic controller could vary to obtain a smaller error, this can be achieved by increasing the element pool size and the number of iterations, and a parallel computation can be used, i.e. designing a cluster to divide the task of computing every chemical reaction procedure in separate computers/processors. 

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