IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v56y2025i2p303-317.html
   My bibliography  Save this article

Event-based finite-time sliding mode consensus tracking control for multiagent systems with actuator failures

Author

Listed:
  • Lufu Zheng
  • Hongru Ren
  • Deyin Yao
  • Hongyi Li

Abstract

This paper investigates the finite-time sliding mode control problem for multiagent systems with actuator failures and external disturbances. Given the presence of unknown nonlinear terms in the controlled multiagent systems, a radial basis function neural network is employed to ensure system robustness. To achieve consensus tracking of sliding mode dynamics within a finite-time, a finite-time integral sliding manifold is proposed. An adaptive law is designed to estimate the unknown fault coefficient, and then a distributed event-triggered adaptive sliding mode fault-tolerant control protocol is developed to deal with external disturbances and actuator faults in multiagent systems, which can effectively reduce the communication bandwidth and enhance reliability against actuator faults. To verify the effectiveness of the proposed control method, a numerical example is provided.

Suggested Citation

  • Lufu Zheng & Hongru Ren & Deyin Yao & Hongyi Li, 2025. "Event-based finite-time sliding mode consensus tracking control for multiagent systems with actuator failures," International Journal of Systems Science, Taylor & Francis Journals, vol. 56(2), pages 303-317, January.
    • Handle: RePEc:taf:tsysxx:v:56:y:2025:i:2:p:303-317
    DOI: 10.1080/00207721.2024.2392836
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2024.2392836
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2024.2392836?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:2:p:303-317. 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.