IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v56y2025i1p183-192.html
   My bibliography  Save this article

Optimal control for linear cyber physical systems under replay attacks via time delay estimation approach

Author

Listed:
  • Peng Yu
  • Xueyi Zhang
  • Ruizhe Jia
  • Qian Dong
  • Jin Guo

Abstract

We mainly study the optimal control problem for linear cyber physical systems under replay attacks in this paper. The methodological research mainly relies on the following two starting points: (1) Promptly detect and estimate the malicious replay attack behaviours hampering normal system procedures; (2) Design a resilient optimal control strategy to ensure the system regularly works as much as possible. Specifically, the linear cyber physical system becomes a time delay system after the replay attack, and then an algorithm is designed to transform the system into a delay-free system and ensure its stability. Finally, a numerical simulation is employed to demonstrate the practicality and efficacy of the proposed approach.

Suggested Citation

  • Peng Yu & Xueyi Zhang & Ruizhe Jia & Qian Dong & Jin Guo, 2025. "Optimal control for linear cyber physical systems under replay attacks via time delay estimation approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 56(1), pages 183-192, January.
  • Handle: RePEc:taf:tsysxx:v:56:y:2025:i:1:p:183-192
    DOI: 10.1080/00207721.2024.2389475
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2024.2389475
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2024.2389475?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.

    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:56:y:2025:i:1:p:183-192. 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.