IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v192y2025ics0960077925000864.html
   My bibliography  Save this article

Optimal bipartite consensus control for nonlinear MASs: A new predefined-time dynamic event-triggered approach

Author

Listed:
  • Zou, Haoming
  • Zhang, Guoshan
  • Chen, Zhiyong

Abstract

This paper presents a novel predefined-time (PDT) event-triggered (ET) optimal bipartite consensus control scheme for multi-agent systems (MASs) with external disturbances. Firstly, an adaptive disturbance observer is designed to accurately estimate the external disturbances within a predefined time, and relax the condition that the upper bound of the disturbance derivative is known. Then, an ET-based consensus optimal control scheme is formulated for MASs by incorporating command filtering technology, backstepping method, and reinforcement learning algorithm. This scheme can obtain satisfactory performance and minimize performance index within a predefined time, and the PDT command filter technique can address “computation complexity” issue. In addition, a new type of dynamic ET mechanism is designed for controller that can ensure the system’s PDT stability and reduce the execution time of controller, in which the dynamic variable can achieve PDT convergence. Finally, the practical PDT stability is proved, and the Zeno behavior is excluded. The effectiveness and superiority are validated through simulation examples.

Suggested Citation

  • Zou, Haoming & Zhang, Guoshan & Chen, Zhiyong, 2025. "Optimal bipartite consensus control for nonlinear MASs: A new predefined-time dynamic event-triggered approach," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:chsofr:v:192:y:2025:i:c:s0960077925000864
    DOI: 10.1016/j.chaos.2025.116073
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925000864
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2025.116073?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.

    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:eee:chsofr:v:192:y:2025:i:c:s0960077925000864. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.