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An adaptive fault-tolerant control scheme for a class of fractional-order systems with unknown input dead-zones

Author

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  • Caiyun Wang
  • Xiaoping Liu
  • Huanqing Wang

Abstract

An adaptive backstepping fault-tolerant control scheme is presented for a class of fractional-order systems in the presence of unknown input dead-zones. The proposed fault-tolerant control scheme ensures all the closed-loop signals are bounded ultimately. Especially, the tracking error can be made as small as possible by choosing appropriate design parameters. Furthermore, this scheme not only works for fractional-order systems with unknown linear terms but also works for these with unknown nonlinear terms. Finally, several practical examples are simulated to verify the effectiveness of the proposed fault-tolerant control scheme.

Suggested Citation

  • Caiyun Wang & Xiaoping Liu & Huanqing Wang, 2021. "An adaptive fault-tolerant control scheme for a class of fractional-order systems with unknown input dead-zones," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(2), pages 291-306, January.
    • Handle: RePEc:taf:tsysxx:v:52:y:2021:i:2:p:291-306
    DOI: 10.1080/00207721.2020.1825874
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    Cited by:

    1. Pishro, Aboozar & Shahrokhi, Mohammad & Sadeghi, Hamed, 2022. "Fault-tolerant adaptive fractional controller design for incommensurate fractional-order nonlinear dynamic systems subject to input and output restrictions," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    2. Pishro, Aboozar & Shahrokhi, Mohammad & Mohit, Mohammaderfan, 2023. "Adaptive neural quantized control for fractional-order full-state constrained non-strict feedback systems subject to input fault and nonlinearity," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).

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