IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v55y2024i6p1167-1176.html
   My bibliography  Save this article

Distributed online optimisation in unknown dynamic environment

Author

Listed:
  • Shuang Wang
  • Bomin Huang

Abstract

In this paper, the distributed online optimisation problem is considered in an unknown dynamic environment. Compared with the existing results, an unknown dynamic environment causes the problem to be more challenging. An online optimisation algorithm is designed based on distributed mirror descent and distributed average tracking technology. The analysis of dynamic regret is presented and a bounded regret is obtained. Some simulations are given to verify the validity of the designed algorithm.

Suggested Citation

  • Shuang Wang & Bomin Huang, 2024. "Distributed online optimisation in unknown dynamic environment," International Journal of Systems Science, Taylor & Francis Journals, vol. 55(6), pages 1167-1176, April.
    • Handle: RePEc:taf:tsysxx:v:55:y:2024:i:6:p:1167-1176
    DOI: 10.1080/00207721.2024.2302903
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2024.2302903
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2024.2302903?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chengqian Yang & Shuang Wang & Shuang Zhang & Shiwei Lin & Bomin Huang, 2024. "A Class of Distributed Online Aggregative Optimization in Unknown Dynamic Environment," Mathematics, MDPI, vol. 12(16), pages 1-15, August.

    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:6:p:1167-1176. 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.