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Optimization with Genetic Algorithms of Interval Type-2 Fuzzy Logic Controllers for an Autonomous Wheeled Mobile Robot: A Comparison under Different Kinds of Perturbations
Conference proceeding

Optimization with Genetic Algorithms of Interval Type-2 Fuzzy Logic Controllers for an Autonomous Wheeled Mobile Robot: A Comparison under Different Kinds of Perturbations

Ricardo Martinez, Oscar Castillo, Luis T. Aguilar, IEEE and Raja Rizwan Hussain
2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, pp.901-908
IEEE International Conference on Fuzzy Systems
01/01/2008
DOI: https://doi.org/10.1109/FUZZY.2008.4630477

Abstract

Computer Science Computer Science, Artificial Intelligence Engineering Engineering, Electrical & Electronic 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.

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