• DocumentCode
    551123
  • Title

    Synthesis of Boolean networks via semi-tensor product

  • Author

    Cheng Daizhan ; Qi Hongsheng ; Zhao Yin

  • Author_Institution
    Key Lab. of Syst. & Control, Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    6
  • Lastpage
    17
  • Abstract
    This paper gives a systematic survey on the semi-tensor product approach to logical systems such as Boolean (control) networks. First the history of Boolean networks is reviewed, and the mathematical frameworks for Boolean network, Boolean control network, and probabilistic Boolean (control) network respectively are presented. Then the semi-tensor product of matrices is introduced as a fundamental tool of this approach. Using it, two key techniques for this approach: (1) algebraic (or matrix) expression of logic; and (2) the state space description of logical dynamics, are introduced. The topological structure of Boolean network is analyzed via this approach. Finally, some control problems are investigated, which include controllability and observability, realization, disturbance decoupling, stability and stabilization, optimal control, identification, etc. In one word, the paper intends to provide a comprehensive guideline to the theory of synthesis and control of Boolean networks.
  • Keywords
    Boolean algebra; control system synthesis; controllability; observability; optimal control; probability; stability; tensors; Boolean control network; Boolean networks synthesis; controllability; disturbance decoupling; logic algebraic expression; logic state space description; observability; optimal control; probabilistic Boolean network; semitensor product; stabilization; Aerospace electronics; Bioinformatics; Biological system modeling; Genomics; Probabilistic logic; Systems biology; Algebraic Form; Boolean Network; Control; Semi-tensor Product; Systems Biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001466