IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-6084-0_3.html
   My bibliography  Save this book chapter

DMPC of Networked Systems with Event-Triggered Communication

In: Distributed Cooperative Model Predictive Control of Networked Systems

Author

Listed:
  • Yuanyuan Zou

    (Shanghai Jiao Tong University, Department of Automation)

  • Shaoyuan Li

    (Shanghai Jiao Tong University, Department of Automation)

Abstract

Considering the limited wireless resources, this chapter focuses on the communication problem for NCSs and aims to guarantee the desired control performance with less communication usage. An event-triggered DMPC algorithm for NCSs with asynchronous communication is developed, where every controller is activated to receive its neighbors’ states and broadcast its updated state to neighboring subsystems only when the predefined event occurs. An event-triggering condition is constructed considering the decrease of the Lyapunov function along with the triggering instants rather than the sampling instants, so as to reduce communication load. In addition, to expand the feasible region and guarantee a satisfied static performance, the set level of the terminal constraint is minimized and optimized between the maximal control invariant set and the target terminal set. Simulation results are provided to verify the event-trigged DMPC algorithm.

Suggested Citation

  • Yuanyuan Zou & Shaoyuan Li, 2022. "DMPC of Networked Systems with Event-Triggered Communication," Springer Books, in: Distributed Cooperative Model Predictive Control of Networked Systems, chapter 0, pages 49-66, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-6084-0_3
    DOI: 10.1007/978-981-19-6084-0_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-981-19-6084-0_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.