IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v46y2015i3p526-534.html
   My bibliography  Save this article

Robust state estimation for linear systems with parametric uncertainties and quantised measurements

Author

Listed:
  • Hao Wu
  • Wei Wang
  • Hao Ye

Abstract

In this paper, the problem of state estimation for linear systems with bounded parametric uncertainties and quantised measurements is addressed. The quantised measurements are random variables of which the probability density functions (PDF) are closely related to the uncertain system parameters. Thus the statistical information of the quantised measurements and the deterministic bounds of the parametric uncertainties need to be incorporated in the design. Based on this, a robust estimator is proposed to minimise the worst-case expectation of the regularised residual norm over all possible parametric uncertainties. An iterative algorithm is presented to obtain the optimal solution. Simulation results are provided to show the effectiveness of the proposed estimator.

Suggested Citation

  • Hao Wu & Wei Wang & Hao Ye, 2015. "Robust state estimation for linear systems with parametric uncertainties and quantised measurements," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(3), pages 526-534, February.
    • Handle: RePEc:taf:tsysxx:v:46:y:2015:i:3:p:526-534
    DOI: 10.1080/00207721.2013.807387
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2013.807387
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2013.807387?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zheng, Juanhui & Cui, Baotong, 2018. "State estimation of chaotic Lurie system with logarithmic quantization," Chaos, Solitons & Fractals, Elsevier, vol. 112(C), pages 141-148.

    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:46:y:2015:i:3:p:526-534. 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.