IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v48y2017i15p3346-3354.html
   My bibliography  Save this article

Simultaneous state and unknown input reconstruction using cascaded high-gain observers

Author

Listed:
  • S. Hadj Saïd
  • F. M'Sahli
  • M. Farza

Abstract

This paper presents a systematic routine for jointly reconstruct the state variables and the unknown inputs (UIs) for a large class of nonlinear MIMO systems. After an appropriate change of state coordinates, a set of cascade high-gain observers (CHGO) are designed in such a way that each of them provides an estimation of only one component of the UI vector, except the last one which gives a final adjustment of the whole state variables. Such design achieves a boundary of the state estimation error which can be arbitrarily small by properly specifying the sole synthesis parameter. An illustrative example verifies the effectiveness of the proposed scheme.

Suggested Citation

  • S. Hadj Saïd & F. M'Sahli & M. Farza, 2017. "Simultaneous state and unknown input reconstruction using cascaded high-gain observers," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(15), pages 3346-3354, November.
    • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:15:p:3346-3354
    DOI: 10.1080/00207721.2017.1367863
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2017.1367863
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2017.1367863?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:15:p:3346-3354. 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.