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Distributed event-triggered finite-time H∞ filtering for switched systems on sensor networks with two-channel network attacks and asynchronous modes

Author

Listed:
  • Zhou, Xin
  • Chen, Guici
  • Zhu, Song
  • Wen, Shiping

Abstract

This paper addresses the problem of distributed event-triggered finite-time H∞ filtering for switched systems on sensor networks, subject to two-channel network attacks and asynchronous modes. To tackle the issue posed by the switched event-triggered communication mechanism and network attacks, a distributed filter with switching signal is introduced. Additionally, considering the mismatched behavior between switched systems and distributed filters caused by the event-triggered communication mechanism and network attacks, a piecewise vector modal function which considers all switching conditions is proposed for handling the problem of the sensor network’s filtering error system containing multiple switching signals. By utilizing the multiple Lyapunov functional method and the average dwell time switching mechanism, sufficient conditions are derived to guarantee that the filtering error system with synchronous and asynchronous modes is both finite-time bounded and satisfies the H∞ performance index. Finally, an example is presented to demonstrate the validity of the results.

Suggested Citation

  • Zhou, Xin & Chen, Guici & Zhu, Song & Wen, Shiping, 2023. "Distributed event-triggered finite-time H∞ filtering for switched systems on sensor networks with two-channel network attacks and asynchronous modes," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    • Handle: RePEc:eee:apmaco:v:458:y:2023:i:c:s0096300323004009
    DOI: 10.1016/j.amc.2023.128231
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    References listed on IDEAS

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    1. Zhao, Xiao-Qi & Guo, Shun & Long, Yue & Zhong, Guang-Xin, 2022. "Simultaneous fault detection and control for discrete-time switched systems under relaxed persistent dwell time switching," Applied Mathematics and Computation, Elsevier, vol. 412(C).
    2. Xing, Tao & Zhou, Xuesong & Taylor, Jeffrey, 2013. "Designing heterogeneous sensor networks for estimating and predicting path travel time dynamics: An information-theoretic modeling approach," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 66-90.
    3. Salman Naseer & William Liu & Nurul I. Sarkar & Muhammad Shafiq & Jin-Ghoo Choi, 2021. "Smart City Taxi Trajectory Coverage and Capacity Evaluation Model for Vehicular Sensor Networks," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
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