IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v47y2016i14p3409-3424.html
   My bibliography  Save this article

Robust unknown input observer for state and fault estimation in discrete-time Takagi–Sugeno systems

Author

Listed:
  • Damiano Rotondo
  • Marcin Witczak
  • Vicenç Puig
  • Fatiha Nejjari
  • Marcin Pazera

Abstract

In this paper, a robust unknown input observer (UIO) for the joint state and fault estimation in discrete-time Takagi–Sugeno (TS) systems is presented. The proposed robust UIO, by applying the H∞$\mathcal {H}_\infty$ framework, leads to a less restrictive design procedure with respect to recent results found in the literature. The resulting design procedure aims at achieving a prescribed attenuation level with respect to the exogenous disturbances, while obtaining at the same time the convergence of the observer with a desired bound on the decay rate. An extension to the case of unmeasurable premise variables is also provided. Since the design conditions reduce to a set of linear matrix inequalities that can be solved efficiently using the available software, an evident advantage of the proposed approach is its simplicity. The final part of the paper presents an academic example and a real application to a multi-tank system, which exhibit clearly the performance and effectiveness of the proposed strategy.

Suggested Citation

  • Damiano Rotondo & Marcin Witczak & Vicenç Puig & Fatiha Nejjari & Marcin Pazera, 2016. "Robust unknown input observer for state and fault estimation in discrete-time Takagi–Sugeno systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(14), pages 3409-3424, October.
  • Handle: RePEc:taf:tsysxx:v:47:y:2016:i:14:p:3409-3424
    DOI: 10.1080/00207721.2016.1165898
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2016.1165898
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2016.1165898?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. Houda, K. & Saifia, D. & Chadli, M. & Labiod, S., 2023. "Unknown input observer based robust control for fuzzy descriptor systems subject to actuator saturation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 150-173.

    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:47:y:2016:i:14:p:3409-3424. 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.