IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v475y2024ics0096300324001905.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300324001905
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2024.128718?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xiong, Shixun & Chen, Mou & Wu, Qianxian, 2019. "Predictive control for networked switch flight system with packet dropout," Applied Mathematics and Computation, Elsevier, vol. 354(C), pages 444-459.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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).
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Xi & Ju, Yamei & Ding, Derui & Liu, Hongjian, 2024. "Cooperative fault-tolerant tracking control for multi-agent systems: A multiple description encoding scheme," Applied Mathematics and Computation, Elsevier, vol. 462(C).
    2. Zhai, Ganghui & Tian, Engang & Luo, Yuqiang & Liang, Dong, 2024. "Data-driven optimal output regulation for unknown linear discrete-time systems based on parameterization approach," Applied Mathematics and Computation, Elsevier, vol. 461(C).
    3. Xiong, Shixun & Wu, Qingxian & Wang, Yuhui & Chen, Mou, 2021. "An l2−l∞ distributed containment coordination tracking of heterogeneous multi-unmanned systems with switching directed topology," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    4. Wang, Qiyi & Peng, Li & Zhao, Huarong & Yang, Shenhao, 2023. "Adaptive event-triggered filtering for semi-Markov jump systems under communication constraints," Applied Mathematics and Computation, Elsevier, vol. 459(C).
    5. Yan, Zhiguo & Zhang, Min & Chang, Gaizhen & Lv, Hui & Park, Ju H., 2022. "Finite-time annular domain stability and stabilization of Itô stochastic systems with Wiener noise and Poisson jumps-differential Gronwall inequality approach," Applied Mathematics and Computation, Elsevier, vol. 412(C).
    6. Wang, Ziyun & Wang, Xianzhe & Wang, Yan, 2024. "Orthotope-search-expansion-based extended zonotopic Kalman filter design for a discrete-time linear parameter-varying system with a dual-noise term," Applied Mathematics and Computation, Elsevier, vol. 474(C).
    7. Zhang, Yong & Tu, Lei & Xue, Zhiwei & Li, Sai & Tian, Lulu & Zheng, Xiujuan, 2022. "Weight optimized unscented Kalman filter for degradation trend prediction of lithium-ion battery with error compensation strategy," Energy, Elsevier, vol. 251(C).
    8. Zheng, Xiaoyuan & Kang, Yu & Li, Hongyi & Li, Jitao, 2023. "Multiple description encoding-decoding-based resilient filtering for complex networks under the round-Robin protocol," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    9. Li, Jiaxing & Hu, Jun & Cheng, Jun & Wei, Yunliang & Yu, Hui, 2022. "Distributed filtering for time-varying state-saturated systems with packet disorders: An event-triggered case," Applied Mathematics and Computation, Elsevier, vol. 434(C).
    10. Liyuan Shao & Yong Zhang & Xiujuan Zheng & Xin He & Yufeng Zheng & Zhiwei Liu, 2023. "A Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods," Energies, MDPI, vol. 16(3), pages 1-22, February.
    11. Liu, Dan & Wang, Zidong & Liu, Yurong & Xue, Changfeng & Alsaadi, Fuad E., 2023. "Distributed Recursive Filtering for Time-Varying Systems with Dynamic Bias over Sensor Networks: Tackling Packet Disorders," Applied Mathematics and Computation, Elsevier, vol. 440(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:475:y:2024:i:c:s0096300324001905. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.