IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v54y2023i12p2485-2497.html
   My bibliography  Save this article

Bipartite consensus of nonlinear multi-agent systems based on delayed output signals

Author

Listed:
  • Wenjie Zhang
  • Xianfu Zhang
  • Yanjie Chang
  • Yanan Qi

Abstract

This paper is concerned with the bipartite consensus problem via a sampled-data delayed output feedback consensus protocol in the presence of competition among the agents for a class of feedback nonlinear multi-agent systems. Firstly, the bipartite consensus problem of the system under investigation is converted into a stabilisation problem of another system by introducing a suitable state transformation. Then, a sampled-data delayed output feedback consensus protocol is designed by making use of all agents' output signals sampled at the present time and all agents' delayed output signals at the preceding n−1 sampling points. By virtue of Lyapunov–Krasovskii functional, it is verified that the bipartite consensus problem of the system under study can be addressed by the designed consensus protocol, with the sampling period T and constant gain L selected appropriately. Two simulation examples are provided to illustrate the effectiveness of the designed consensus protocol.

Suggested Citation

  • Wenjie Zhang & Xianfu Zhang & Yanjie Chang & Yanan Qi, 2023. "Bipartite consensus of nonlinear multi-agent systems based on delayed output signals," International Journal of Systems Science, Taylor & Francis Journals, vol. 54(12), pages 2485-2497, September.
    • Handle: RePEc:taf:tsysxx:v:54:y:2023:i:12:p:2485-2497
    DOI: 10.1080/00207721.2023.2231460
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2023.2231460
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2023.2231460?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:54:y:2023:i:12:p:2485-2497. 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.