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Indirect Adaptive Fuzzy Control of Nonlinear Systems with Terminal Sliding Modes

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Book cover Fuzzy Logic

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 81))

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Abstract

A global fast terminal sliding mode controller with fast terminal adaptive fuzzy approximator is proposed for general single input single output nonlinear systems. The finite time convergence property of the fast terminal sliding mode is used in the design of the controller. It is applied not only in the reaching phase and the sliding phase of the sliding mode control system, but also in the adaptive fuzzy approximator for the unknown nonlinear system. Stability of the control system and convergence of the approximation are proved.

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Author information

Authors and Affiliations

  1. Faculty of Informatics and Communication, Central Queensland University, Rockhampton, QLD, 4702, Australia

    Shuanghe Yu & Xinghuo Yu

  2. Department of Computer Science and Electrical Engineering, University of Tasmania, Hobart, 7001, Australia

    Man Zhihong

Authors
  1. Shuanghe Yu
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  2. Xinghuo Yu
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  3. Man Zhihong
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Editor information

Editors and Affiliations

  1. School of Social Ecology and Lifelong Learning College of Arts, Education and Social Sciences, University of Western Sydney, Hawkesburg Campus, Locked Bag 1797, 1797, South Penrith DC, NSW, Australia

    Vladimir Dimitrov

  2. School of Mathematical and Decision Sciences Faculty of Informatics and Communication, Central Queensland University, Mackay Campus, PO BOX 5606, 4741, Mackay Mail Centre, QLD, Australia

    Victor Korotkich

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© 2002 Springer-Verlag Berlin Heidelberg

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Yu, S., Yu, X., Zhihong, M. (2002). Indirect Adaptive Fuzzy Control of Nonlinear Systems with Terminal Sliding Modes. In: Dimitrov, V., Korotkich, V. (eds) Fuzzy Logic. Studies in Fuzziness and Soft Computing, vol 81. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1806-2_19

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  • DOI: https://doi.org/10.1007/978-3-7908-1806-2_19

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2496-4

  • Online ISBN: 978-3-7908-1806-2

  • eBook Packages: Springer Book Archive

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