IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-13-9254-2_13.html
   My bibliography  Save this book chapter

State Estimation of Genetic Regulatory Networks with Leakage, Constant, and Distributed Time-Delays

In: Dynamic Systems with Time Delays: Stability and Control

Author

Listed:
  • Ju H. Park

    (Yeungnam University, Department of Electrical Engineering)

  • Tae H. Lee

    (Chonbuk National University, Division of Electronic Engineering)

  • Yajuan Liu

    (North China Electric Power University, Control and Computer Engineering)

  • Jun Chen

    (Jiangsu Normal University, School of Electrical Engineering and Automation)

Abstract

This chapter is concerned with the problem of designing state estimator for genetic regulatory networksGenetic regulatory networks (GRNs). Three types of delays are considered for modeling of GRNs, that is, leakage delay, normal constant delay, and distributed delay. The criteria for designing estimator are derived in the form of linear matrix inequality(LMI) and its’ effectiveness is shown by two numerical examples.

Suggested Citation

  • Ju H. Park & Tae H. Lee & Yajuan Liu & Jun Chen, 2019. "State Estimation of Genetic Regulatory Networks with Leakage, Constant, and Distributed Time-Delays," Springer Books, in: Dynamic Systems with Time Delays: Stability and Control, chapter 0, pages 295-311, Springer.
  • Handle: RePEc:spr:sprchp:978-981-13-9254-2_13
    DOI: 10.1007/978-981-13-9254-2_13
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:sprchp:978-981-13-9254-2_13. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.