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Robust disturbance rejection for uncertain fractional-order systems

Author

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  • Liu, Rui-Juan
  • Nie, Zhuo-Yun
  • Wu, Min
  • She, Jinhua

Abstract

This paper describes a disturbance rejection scheme that adopts equivalent-input-disturbance (EID) approach for uncertain fractional-order (FO) systems. An EID estimator that contains an FO observer is designed to actively compensate for the disturbances and process modeling uncertainties without requiring their prior knowledge. Under the construction of the FO control system, a robust stability condition and the parameters of the controller are derived using a linear matrix inequality based method. Finally, numerical and practical examples are illustrated to demonstrate the validity and superiority of the method.

Suggested Citation

  • Liu, Rui-Juan & Nie, Zhuo-Yun & Wu, Min & She, Jinhua, 2018. "Robust disturbance rejection for uncertain fractional-order systems," Applied Mathematics and Computation, Elsevier, vol. 322(C), pages 79-88.
  • Handle: RePEc:eee:apmaco:v:322:y:2018:i:c:p:79-88
    DOI: 10.1016/j.amc.2017.11.021
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    Cited by:

    1. Cai, Ruiyang & Ge, Fudong & Chen, YangQuan & Kou, Chunhai, 2019. "Regional observability for Hadamard-Caputo time fractional distributed parameter systems," Applied Mathematics and Computation, Elsevier, vol. 360(C), pages 190-202.
    2. Li, Yankai & Chen, Mou & Li, Tao & Shi, Peng, 2020. "Anti-disturbance reference mode resilient dynamic output feedback control for turbofan systems," Applied Mathematics and Computation, Elsevier, vol. 378(C).
    3. Zhenlong Wu & Ting He & Li Sun & Donghai Li & Yali Xue, 2018. "The Facilitation of a Sustainable Power System: A Practice from Data-Driven Enhanced Boiler Control," Sustainability, MDPI, vol. 10(4), pages 1-21, April.
    4. Li, Qiaoping & Liu, Sanyang & Chen, Yonggang, 2018. "Combination event-triggered adaptive networked synchronization communication for nonlinear uncertain fractional-order chaotic systems," Applied Mathematics and Computation, Elsevier, vol. 333(C), pages 521-535.
    5. Yao, Xueqi & Zhong, Shouming, 2021. "EID-based robust stabilization for delayed fractional-order nonlinear uncertain system with application in memristive neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

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