IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v46y2015i14p2520-2530.html
   My bibliography  Save this article

Extended-state-observer-based adaptive control for synchronisation of multi-agent systems with unknown nonlinearities

Author

Listed:
  • Hongjiu Yang
  • Xiu You
  • Zhixin Liu
  • Fuchun Sun

Abstract

This paper studies the problem of synchronisation to a desired trajectory for non-linear multi-agent systems. By introducing extended state observer approach, decentralised adaptive controllers are designed for distributed systems which have non-identical unknown non-linear dynamics. The non-identical unknown non-linear dynamics allows for a tracked command dynamics which is also non-linear and unknown. State variables of agents can be obtained only in the case where leader agent and the network communication topology for multi-agent systems is strongly connected digraph network structures. A Lyapunov-function-based approach is given to show that the tracking error is ultimately bounded. Some simulation results are given to demonstrate the effectiveness of the developed techniques in this paper.

Suggested Citation

  • Hongjiu Yang & Xiu You & Zhixin Liu & Fuchun Sun, 2015. "Extended-state-observer-based adaptive control for synchronisation of multi-agent systems with unknown nonlinearities," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(14), pages 2520-2530, October.
    • Handle: RePEc:taf:tsysxx:v:46:y:2015:i:14:p:2520-2530
    DOI: 10.1080/00207721.2013.871367
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2013.871367
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2013.871367?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:46:y:2015:i:14:p:2520-2530. 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.