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Resilient Control-Based Fault Estimation for Networked Control Systems with Jumping Parameters and Deception Attacks

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Abstract

This paper studies a resilient control-based fault estimation problem for a class of networked control systems subject to jumping parameters and deception attacks. In particular, a fault estimator is developed under an observer-based framework to estimate the faults and system states concurrently, and procure better estimation accuracy. Next, the closed-loop error system is constructed with major factors like gain fluctuations and cyber attacks that may damage the network security. In accordance with the Lyapunov stability approach, a set of adequate criteria in the configuration of linear matrix inequalities is derived to confirm the stochastic boundedness of the resulting system. Further, the considered resilient controller and the observer gain matrices are calculated from the established linear matrix inequality constraints. The validity of the developed schemes and performance of the obtained results is consummated through two numerical examples, which include a high alpha research vehicle model.

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Data sharing is not applicable to this article as no new data were created or analyzed in this study.

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Acknowledgements

The work of R. Sakthivel was financially supported by Tamilnadu State Council for Higher Education Research Grant Project (TANSCHE-RGP), Sanction No. RGP/2019-20/BU/HECP-0087.

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Authors and Affiliations

  1. Department of Applied Mathematics, Bharathiar University, Coimbatore, 641046, India

    R. Sakthivel & H. Divya

  2. Department of Mathematics, Anna University Regional Campus, Coimbatore, 641046, India

    S. A. Karthick

  3. School of Mathematics and Statistics, Anhui Normal University, Wuhu, 241000, Anhui, China

    F. Kong

Authors
  1. R. Sakthivel
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  2. H. Divya
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  3. S. A. Karthick
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  4. F. Kong
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Correspondence to R. Sakthivel.

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Sakthivel, R., Divya, H., Karthick, S.A. et al. Resilient Control-Based Fault Estimation for Networked Control Systems with Jumping Parameters and Deception Attacks. Circuits Syst Signal Process 41, 5990–6006 (2022). https://doi.org/10.1007/s00034-022-02079-3

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  • DOI: https://doi.org/10.1007/s00034-022-02079-3

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