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16 Intelligent Control of Autonomous Robotic Systems Using Interval Type-2 Fuzzy Logic and Genetic Algorithms

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Type-2 Fuzzy Logic: Theory and Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 223))

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We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented confirming the performance of the tracking controller and its application to different navigation problems.

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© 2007 Springer-Verlag Berlin Heidelberg

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Castillo, O., Melin, P. (2007). 16 Intelligent Control of Autonomous Robotic Systems Using Interval Type-2 Fuzzy Logic and Genetic Algorithms. In: Type-2 Fuzzy Logic: Theory and Applications. Studies in Fuzziness and Soft Computing, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76284-3_16

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  • DOI: https://doi.org/10.1007/978-3-540-76284-3_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76283-6

  • Online ISBN: 978-3-540-76284-3

  • eBook Packages: EngineeringEngineering (R0)

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