IDEAS home Printed from https://ideas.repec.org/a/hin/jnlaaa/464175.html
   My bibliography  Save this article

Analysis of Iterative Learning Control for a Class of Linear Discrete-Time Switched Systems

Author

Listed:
  • Xuan Yang
  • Xiaoe Ruan

Abstract

An iterative learning control scheme is applied to a class of linear discrete-time switched systems with arbitrary switching rules. The application is based on the assumption that the switched system repetitively operates over a finite time interval. By taking advantage of the super vector approach, convergence is discussed when noise is free and robustness is analyzed when the controlled system is disturbed by bounded noise. The analytical results manifest that the iterative learning control algorithm is feasible and effective for the linear switched system. To support the theoretical analysis, numerical simulations are made.

Suggested Citation

  • Xuan Yang & Xiaoe Ruan, 2015. "Analysis of Iterative Learning Control for a Class of Linear Discrete-Time Switched Systems," Abstract and Applied Analysis, Hindawi, vol. 2015, pages 1-8, January.
    • Handle: RePEc:hin:jnlaaa:464175
    DOI: 10.1155/2015/464175
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AAA/2015/464175.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/AAA/2015/464175.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/464175?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
    ---><---

    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:hin:jnlaaa:464175. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.