• DocumentCode
    3533070
  • Title

    Observability and dead-beat observers for Boolean networks modeled as polynomial discrete-time systems

  • 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
    4428
  • Lastpage
    4433
  • Abstract
    Boolean networks are considered in this paper and are represented through polynomial discrete-time systems over the Galois field F2. The local and the global observability properties of a Boolean network are then expressed in terms of the polynomial ideal generated by the measured output and its repeated time-shifts (the observability ideal). It is shown that any globally observable Boolean network can be immersed into a polynomial system that is linearizable by output injection, whence a dead-beat observer can be designed in such a case. In case of globally observable Boolean networks, the left inverse of the observability mapping can always be computed in closed-form through a Gröbner basis of the observability ideal. More in general, the computation of a Gröbner basis of the observability ideal is useful also for the partial inversion of the observability mapping in case of Boolean networks that are not globally observable, as it is shown for a genetic system, the lac operon.
  • Keywords
    Boolean algebra; discrete time systems; observability; observers; Galois field F2; Gröbner basis; dead-beat observers; genetic system; global observability properties; globally observable Boolean network; local observability properties; observability; observability mapping; output injection; polynomial discrete-time systems; Discrete-time systems; Genetics; Observability; Observers; 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.2013.6760571
  • Filename
    6760571