IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v48y2017i2p324-336.html
   My bibliography  Save this article

Adaptive finite-time control for a class of switched nonlinear systems using multiple Lyapunov functions

Author

Listed:
  • Mingjie Cai
  • Zhengrong Xiang
  • Jian Guo

Abstract

This paper investigates the problem of global adaptive finite-time stabilisation for a class of switched nonlinearly parameterised systems. Without requiring that each subsystem is globally adaptively finite-time stabilisable, a switched adaptive finite-time control scheme is developed by exploiting the multiple Lyapunov functions method and adding a power integrator technique. By using the parameter separation technique, the unknown parameters are separated from nonlinear functions. On the basis of finite-time Lyapunov stability theory, it is proved that the proposed controller can guarantee that the state of the resulting closed-loop system converges to the origin in finite time. Finally, an example is given to demonstrate the effectiveness of the proposed method.

Suggested Citation

  • Mingjie Cai & Zhengrong Xiang & Jian Guo, 2017. "Adaptive finite-time control for a class of switched nonlinear systems using multiple Lyapunov functions," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(2), pages 324-336, January.
  • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:2:p:324-336
    DOI: 10.1080/00207721.2016.1181223
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2016.1181223
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2016.1181223?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:48:y:2017:i:2:p:324-336. 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.