• DocumentCode
    3532263
  • Title

    Immersion and darboux polynomials of boolean networks with application to the pseudomonas syringae hrp regulon

  • Author

    Menini, Laura ; Tornambe, Antonio

  • Author_Institution
    Dipt. di Ing. Inf. e Ing. Civile, Univ. di Roma “Tor Vergata”, Rome, Italy
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4092
  • Lastpage
    4097
  • Abstract
    Boolean networks are treated in this paper as discrete-time polynomial systems over the Galois field F2. It is shown that a previous result, valid for standard polynomial nonlinear systems, and allowing to compute the Darboux polynomials of the system, holds for polynomial systems over F2 in a reinforced manner. Moreover, it is shown that, by using a state immersion, polynomial systems over F2 can be always linearized. The state immersion technique can be used also for other purposes, such as to compute the solution in closed form and to compute some of the Darboux polynomials.
  • Keywords
    Boolean functions; Galois fields; discrete time systems; microorganisms; polynomials; Boolean networks; Darboux polynomials; Galois field; Pseudomonas syringae hrp regulon; discrete-time polynomial systems; immersion polynomials; standard polynomial nonlinear systems; state immersion technique; Artificial intelligence; Artificial neural networks; Interpolation; Nonlinear systems; Polynomials; Proteins; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760516
  • Filename
    6760516