• DocumentCode
    176921
  • Title

    Stochastic stability of Boolean networks with Markov jump

  • Author

    Yunqi Zhao ; Fei Long

  • Author_Institution
    Inst. of Intell. Inf. Process., Guizhou Univ., Guiyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    4346
  • Lastpage
    4350
  • Abstract
    In this paper, we address the stochastic stability problem of Boolean networks with Markov jumping. Firstly, an algebraic expression of Markov switching Boolean networks is obtained by using the semi-tensor product. Based on such algebraic expression, a necessary and sufficient condition of stochastic stability is given. The control signal is then designed for Markov jumping Boolean control networks. Finally, the study of illustrative example shows that the new result obtained in this paper is effective in stochastic stability and control signal designing for the investigated Boolean network.
  • Keywords
    control system synthesis; nonlinear control systems; stability; stochastic systems; tensors; Boolean control networks; Markov jump; algebraic expression; control signal design; necessary condition; semi-tensor product; stochastic stability; sufficient condition; Controllability; Educational institutions; Markov processes; Stability analysis; Switches; Boolean network; Markov jumping; Semi-tensor product; Stochastic stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852944
  • Filename
    6852944