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Protocol-based fault detection for state-saturated systems with sensor nonlinearities and redundant channels

Author

Listed:
  • Chen, Weilu
  • Hu, Jun
  • Wu, Zhihui
  • Yi, Xiaojian
  • Liu, Hongjian

Abstract

This paper is concerned with the protocol-based fault detection (FD) issue for state-saturated delayed nonlinear systems with both redundant channels and sensor nonlinearities. Specifically, in pursuit of relieving the communication pressure, the stochastic communication protocol is adopted, which can regulate the transmission of output signal during the communication process. Moreover, for the purpose of decreasing the negative impact of one channel failure on network communication and enhancing data reliability, the redundant channels transmission is introduced. Then, the protocol-based FD filter is constructed such that the resultant FD dynamics system attains the global asymptotic stability in mean-square sense and satisfies the H∞ performance index. Moreover, an implement-to-easy algorithm is developed to facilitate the solvability of the desirable FD filtering method. In the end, two illustrative examples are utilized to demonstrate the validity of the developed FD filtering algorithm.

Suggested Citation

  • Chen, Weilu & Hu, Jun & Wu, Zhihui & Yi, Xiaojian & Liu, Hongjian, 2024. "Protocol-based fault detection for state-saturated systems with sensor nonlinearities and redundant channels," Applied Mathematics and Computation, Elsevier, vol. 475(C).
  • Handle: RePEc:eee:apmaco:v:475:y:2024:i:c:s0096300324001905
    DOI: 10.1016/j.amc.2024.128718
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    References listed on IDEAS

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    1. Xiaofu Ji & Taihui Liu & Yukun Sun & Hongye Su, 2011. "Stability analysis and controller synthesis for discrete linear time-delay systems with state saturation nonlinearities," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(3), pages 397-406.
    2. Hang Geng & Hongjian Liu & Lifeng Ma & Xiaojian Yi, 2021. "Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(16), pages 3410-3436, December.
    3. Saeed Ahmadizadeh & Jafar Zarei & Hamid Reza Karimi, 2013. "Robust Fault Detection of Linear Uncertain Time-Delay Systems Using Unknown Input Observers," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-12, November.
    4. Miao Cai & Xiao He & Donghua Zhou, 2022. "Performance-improved finite-time fault-tolerant control for linear uncertain systems with intermittent faults: an overshoot suppression strategy," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(16), pages 3408-3425, December.
    5. Yamei Ju & Guoliang Wei & Derui Ding & Sunjie Zhang, 2019. "Fault detection for discrete time-delay networked systems with round-robin protocol in finite-frequency domain," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(13), pages 2497-2509, October.
    6. Li, Meiyu & Liang, Jinling, 2023. "State estimation for 2-D uncertain systems with redundant channels and deception attacks: A set-membership method," Applied Mathematics and Computation, Elsevier, vol. 457(C).
    7. Liu, Dan & Wang, Zidong & Liu, Yurong & Alsaadi, Fuad E., 2021. "Recursive filtering for stochastic parameter systems with measurement quantizations and packet disorders," Applied Mathematics and Computation, Elsevier, vol. 398(C).
    8. Jinghui Suo & Nan Li, 2022. "Observer-based synchronisation control for discrete-time delayed switched complex networks with coding–decoding approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(13), pages 2711-2728, October.
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