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13 Intelligent Control of the Pendubot with Interval Type-2 Fuzzy Logic

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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 describe in this chapter adaptive model-based control of non-linear plants using type-2 fuzzy logic and neural networks. First, the general concept of adaptive model-based control is described. Second, the use of type-2 fuzzy logic for adaptive control is described. Third, a neuro-fuzzy approach is proposed to learn the parameters of the fuzzy system for control. A specific non-linear plant was used to simulate the hybrid approach for adaptive control. The specific plant was also used as test bed in the experiments. The non-linear plant that was considered is the "Pendubot", which is a non-linear plant similar to the two-link robot arm. The results of the type-2 fuzzy logic approach for control were good, both in accuracy and efficiency.

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© 2007 Springer-Verlag Berlin Heidelberg

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Castillo, O., Melin, P. (2007). 13 Intelligent Control of the Pendubot with Interval Type-2 Fuzzy Logic. 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_13

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  • DOI: https://doi.org/10.1007/978-3-540-76284-3_13

  • 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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