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Distributed finite-time secure filtering for T-S fuzzy systems under hybrid cyber-attacks: Application to tunnel diode circuits

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  • Ye, Zehua
  • Xu, Xinran
  • Zhang, Dan
  • Cheng, Jun
  • Yan, Huaicheng

Abstract

The distributed secure filtering issue of Takagi-Sugeno (T-S) fuzzy systems (TSFSs) under hybrid attacks is investigated in the framework of finite-time boundedness (FTB). The state is estimated via a wireless sensor network (WSN) in a distributed way, where each sensor collects information from the system independently, and transmits it to the remote local estimator through the measurement information transmission (MIT) network. The estimator interacts with others through the local information transmission (LIT) network. Firstly, to describe the dynamic changes of the system under hybrid cyber-attacks, a switched model with nine subsystems is introduced. Then, the conditions of the FTB of the filtering dynamic system are given by the switching system analysis method. Moreover, the quantitative relationship between the average dwell time of attack modes and the stability boundary is established. Finally, to demonstrate the efficiency of the designed filtering scheme, the simulation study on the tunnel diode circuits is provided.

Suggested Citation

  • Ye, Zehua & Xu, Xinran & Zhang, Dan & Cheng, Jun & Yan, Huaicheng, 2024. "Distributed finite-time secure filtering for T-S fuzzy systems under hybrid cyber-attacks: Application to tunnel diode circuits," Applied Mathematics and Computation, Elsevier, vol. 480(C).
    • Handle: RePEc:eee:apmaco:v:480:y:2024:i:c:s0096300324003618
    DOI: 10.1016/j.amc.2024.128900
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    References listed on IDEAS

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    1. Lei Liu & Lifeng Ma & Jie Zhang & Yuming Bo, 2021. "Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(6), pages 1192-1205, April.
    2. Jinhua Song & Derui Ding & Hongjian Liu & Xueli Wang, 2020. "Non-fragile distributed state estimation over sensor networks subject to DoS attacks: the almost sure stability," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(6), pages 1119-1132, April.
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