• DocumentCode
    1708701
  • Title

    Periodic Lyapunov differential equation for noise evaluation in oscillatory genetic networks

  • Author

    Ichikawa, Sho ; Ito, Yohei ; Uchida, Kenko

  • Author_Institution
    Dept. of Electr. Eng. & Biosci., Waseda Univ., Tokyo, Japan
  • fYear
    2009
  • Firstpage
    83
  • Lastpage
    88
  • Abstract
    The Lyapunov equation, which describes stochastic variations of systems as a covariance equation, plays a central role in evaluation and prediction of behavior of genetic regulatory networks fluctuated by molecular noises. When the genetic network is an autonomously oscillatory system, the Lyapunov equation becomes a periodic differential equation that has generally unbounded solutions. We discuss orbital stability and periodicity properties of the solutions to the periodic Lyapunov differential equation by using Floquet-Lyapunov theory, and propose two global measures for evaluating stochastic fluctuations of the whole periodic trajectory. We also provide an evaluation formula for the period fluctuation.
  • Keywords
    Lyapunov methods; covariance analysis; differential equations; genetics; noise; stability; stochastic processes; Floquet-Lyapunov theory; autonomously oscillatory system; covariance equation; genetic regulatory networks; molecular noises; noise evaluation; orbital stability; oscillatory genetic networks; periodic Lyapunov differential equation; periodicity properties; stochastic fluctuations; stochastic variations; Control systems; Differential equations; Extraterrestrial measurements; Fluctuations; Genetics; Indium tin oxide; Predictive models; Stability; Stochastic resonance; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    Saint Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5281071
  • Filename
    5281071