IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/906439.html
   My bibliography  Save this article

State Estimation for Discrete-Time Fuzzy Cellular Neural Networks with Mixed Time Delays

Author

Listed:
  • Lijie Geng
  • Haiying Li
  • Bingchen Zhao
  • Guang Su

Abstract

This paper is concerned with the exponential state estimation problem for a class of discrete-time fuzzy cellular neural networks with mixed time delays. The main purpose is to estimate the neuron states through available output measurements such that the dynamics of the estimation error is globally exponentially stable. By constructing a novel Lyapunov-Krasovskii functional which contains a triple summation term, some sufficient conditions are derived to guarantee the existence of the state estimator. The linear matrix inequality approach is employed for the first time to deal with the fuzzy cellular neural networks in the discrete-time case. Compared with the present conditions in the form of -matrix, the results obtained in this paper are less conservative and can be checked readily by the MATLAB toolbox. Finally, some numerical examples are given to demonstrate the effectiveness of the proposed results.

Suggested Citation

  • Lijie Geng & Haiying Li & Bingchen Zhao & Guang Su, 2014. "State Estimation for Discrete-Time Fuzzy Cellular Neural Networks with Mixed Time Delays," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-13, April.
    • Handle: RePEc:hin:jnlmpe:906439
    DOI: 10.1155/2014/906439
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/906439.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2014/906439.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/906439?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:jnlmpe:906439. 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.