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Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms
Journal article   Peer reviewed

Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms

Ricardo Martinez, Oscar Castillo, Luis T. Aguilar and Raja Rizwan Hussain
Information sciences, Vol.179(13), pp.2158-2174
13/06/2009
DOI: https://doi.org/10.1016/j.ins.2008.12.028

Abstract

Computer Science Computer Science, Information Systems Science & Technology Technology
We describe a tracking controller for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on type-2 fuzzy logic theory and genetic algorithms. Computer simulations are presented confirming the performance of the tracking controller and its application to different navigation problems. (C) 2009 Elsevier Inc. All rights reserved.

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