IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v52y2021i6p1192-1205.html
   My bibliography  Save this article

Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks

Author

Listed:
  • Lei Liu
  • Lifeng Ma
  • Jie Zhang
  • Yuming Bo

Abstract

In this paper, the secure distributed set-membership filtering problem is investigated for general nonlinear system over wireless sensor networks. For the purpose of getting close to practical wireless sensor networks, both the bias injection attacks and the channel fading of wireless communication are taken into account in the procedure of filter design. By employing linear matrix inequality (LMI) technique and Taylor's expansion formula, the nonlinearity, the channel fading, the bias injection attacks and the non-fragile are handled simultaneously in the set-membership filtering framework and the filter design problem is addressed. For the pre-specified filtering performance, sufficient conditions are obtain to ensure the existence of desired filter, where the filter gains are acquired via solving certain recursive LMI. Furthermore, in order to look for the locally best performance, an optimal algorithm is proposed. Finally, a simulation example is given to demonstrate the effectiveness of our proposed secure filtering algorithm.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:tsysxx:v:52:y:2021:i:6:p:1192-1205
    DOI: 10.1080/00207721.2021.1872118
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2021.1872118
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2021.1872118?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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).
    3. 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).

    More about this item

    Statistics

    Access and download statistics

    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:taf:tsysxx:v:52:y:2021:i:6:p:1192-1205. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSYS20 .

    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.