• DocumentCode
    3532708
  • Title

    Identifiability and excitation of polynomial systems

  • Author

    Gevers, Michel ; Bazanella, Alexandre S. ; Coutinho, Daniel F. ; Dasgupta, S.

  • Author_Institution
    ICTEAM, Louvain Univ., Louvain la Neuve, Belgium
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4278
  • Lastpage
    4283
  • Abstract
    This paper establishes identifiability and informativity conditions for a class of deterministic linearly parametrized polynomial systems. The class considered is polynomial in the states and in the inputs. The standard definitions of identifiability and informativity for linear systems are expanded to account for the situation where the identification is achieved either through the application of informative inputs or via the response to informative initial conditions. We provide necessary and sufficient conditions for identifiability from the initial state, respectively from the input, as well as necessary and sufficient conditions on the initial state, respectively on the input, to produce an informative experiment.
  • Keywords
    linear systems; parameter estimation; polynomials; deterministic linearly parametrized polynomial systems; excitation; identifiability; informativity conditions; Data models; Mathematical model; Matrices; Polynomials; Stochastic processes; 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.2013.6760547
  • Filename
    6760547