IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v53y2022i3p468-477.html
   My bibliography  Save this article

Distributed constrained consensus for discrete multi-agent systems with additive noises

Author

Listed:
  • Huifang Sun
  • Xiaowen Wang
  • Jing Zhang
  • Shuai Liu

Abstract

In this paper, we investigate the constrained consensus problem for discrete multi-agent systems subject to additive noises. Each agent can only receive relative state measurements corrupted by noises from its neighbours. Two control protocols are designed under some mild assumptions of the noises and the structure of the network. The first protocol is designed with constant control gain, and the constrained consensus error bound is obtained. Asymptotic constrained consensus can be further achieved under the second control protocol in which case time-varying gains are adopted. Finally, two numerical examples are given to illustrate the effectiveness of our results.

Suggested Citation

  • Huifang Sun & Xiaowen Wang & Jing Zhang & Shuai Liu, 2022. "Distributed constrained consensus for discrete multi-agent systems with additive noises," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(3), pages 468-477, February.
  • Handle: RePEc:taf:tsysxx:v:53:y:2022:i:3:p:468-477
    DOI: 10.1080/00207721.2021.1961913
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2021.1961913
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2021.1961913?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:53:y:2022:i:3:p:468-477. 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.