IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v50y2019i15p2764-2775.html
   My bibliography  Save this article

Improved results on synchronisation of Markovian jump complex dynamical networks via sampled-data controller and convex combination

Author

Listed:
  • Xiaojie Huang
  • Yuechao Ma

Abstract

This paper investigates the Markovian jump complex dynamical networks via a sampled-data controller and convex combination. Firstly, constructing an improved discontinuous Lyapunov-Krasovskii function (LKF), which is fully considered the characteristics of sampled-data to reduce the conservativeness. Secondly, designing an appropriate sample-data controller and combining some integral inequalities, convex function and free weighting matrices to utilise the upper bound on variable sampling interval and the sawtooth structure information of varying input delay. Then one can obtain the new criterion of sampled-data synchronisation. Finally, giving two examples to prove the effectiveness and superiority of the proposed methods. Obviously, compared with other existing literatures, this paper has less conservative.

Suggested Citation

  • Xiaojie Huang & Yuechao Ma, 2019. "Improved results on synchronisation of Markovian jump complex dynamical networks via sampled-data controller and convex combination," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(15), pages 2764-2775, November.
    • Handle: RePEc:taf:tsysxx:v:50:y:2019:i:15:p:2764-2775
    DOI: 10.1080/00207721.2019.1690069
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2019.1690069
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2019.1690069?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:50:y:2019:i:15:p:2764-2775. 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.