• DocumentCode
    2890254
  • Title

    Delay-Dependent Stability for Genetic Regulatory Networks

  • Author

    Tian, Li-Ping ; Wu, Fang-Xiang

  • Author_Institution
    Sch. of Inf., Beijing Wuzi Univ., Beijing, China
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    197
  • Lastpage
    201
  • Abstract
    The study of stability is essential for designing or controlling genetic regulatory networks, which can be described by nonlinear differential equations with time delays. Much attention has been paid to the study of delay-independent stability of genetic regulatory networks and as a result, many sufficient conditions have been derived for delay- independent stability. Although it might be more interested in practice, delay-dependent stability of genetic regulatory networks has been studied insufficiently. Based on linear matrix inequality (LMI) approach, in this study we will present some delay-dependent stability conditions for genetic regulatory networks. To illustrate the effectiveness of our theoretical results, a gene repressillatory network is analyzed.
  • Keywords
    bioinformatics; cellular biophysics; delays; genetics; linear matrix inequalities; molecular biophysics; nonlinear differential equations; delay-dependent stability; gene repressillatory network; genetic regulatory networks; linear matrix inequality; nonlinear differential equations; time delays; Asymptotic stability; Delay; Delay effects; Genetics; Mathematical model; Proteins; Stability analysis; delay-dependent stability; genetic regulatory network; gne repressillatory network; linear matrix inequality (LMI);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1799-4
  • Type

    conf

  • DOI
    10.1109/BIBM.2011.20
  • Filename
    6120435