IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v55y2024i16p3425-3441.html
   My bibliography  Save this article

Adaptive sliding mode consensus tracking for nonlinear leader-following multi-agent systems with distributed estimation strategy

Author

Listed:
  • Haitao Wang
  • Qingshan Liu

Abstract

This paper studies the consensus of nonlinear multi-agent system based on distributed estimation and adaptive sliding mode control schemes. A strategy for distributed estimation is proposed to ensure that every follower is able to estimate the state of the leader within a finite time. Then a structurally simpler integral sliding manifold is designed to eliminate the reaching phase. Furthermore, two control protocols are formulated to ensure the reachability of sliding surface according to the estimated state of the leader. The first protocol is a discontinuous one that ensures exponential convergence of the consensus tracking error to zero, but its switching gain is difficult to be adjusted. Then an adaptive protocol is developed to adjust the switching gain automatically, which is the second control protocol. This protocol not only avoids chattering but also relaxes the dependence on certain boundaries. Finally, simulations are conducted to validate the efficacy of the employed strategy.

Suggested Citation

  • Haitao Wang & Qingshan Liu, 2024. "Adaptive sliding mode consensus tracking for nonlinear leader-following multi-agent systems with distributed estimation strategy," International Journal of Systems Science, Taylor & Francis Journals, vol. 55(16), pages 3425-3441, December.
    • Handle: RePEc:taf:tsysxx:v:55:y:2024:i:16:p:3425-3441
    DOI: 10.1080/00207721.2024.2371019
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2024.2371019
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2024.2371019?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:55:y:2024:i:16:p:3425-3441. 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.