IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v386y2020ics009630032030480x.html
   My bibliography  Save this article

Double event-triggered control for linear multi-agent systems with augmented dynamic triggering mechanisms

Author

Listed:
  • Luo, Shengping
  • Ye, Dan

Abstract

In this paper, the design of double event-triggered mechanisms (ETMs) for multi-agent systems (MAS) with augmented dynamic variables is proposed. In this case, the asymptotic consensus of agents is achieved and the Zeno behavior is also excluded. The updates of controllers and the exchange of information between agents at the current moment depend on the proposed double ETMs, where there are two types of ETMs use different trigger functions and work independently. As a consequence, both the communication burdens are greatly lighten and the control signal updates are reduced. Then, by using the novel methods, the resultant triggering function is less conservative than existing methods. In addition, a new dynamic ETM method is presented which covers the traditional dynamic ETM and the static ETM by tuning some parameters. It is proven that the augmented dynamic ETM can further extend the event-triggered interval. Finally, a numerical example is given to show the effectiveness of the proposed method.

Suggested Citation

  • Luo, Shengping & Ye, Dan, 2020. "Double event-triggered control for linear multi-agent systems with augmented dynamic triggering mechanisms," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    • Handle: RePEc:eee:apmaco:v:386:y:2020:i:c:s009630032030480x
    DOI: 10.1016/j.amc.2020.125522
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S009630032030480X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2020.125522?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:apmaco:v:386:y:2020:i:c:s009630032030480x. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.