• DocumentCode
    2998296
  • Title

    On the identifiability of parameters

  • Author

    Tse, E. ; Anton, J.

  • Author_Institution
    Systems Control, Inc., Palo Alto, California
  • fYear
    1971
  • fDate
    15-17 Dec. 1971
  • Firstpage
    498
  • Lastpage
    502
  • Abstract
    A precise definition of identifiability of a parameter is given in terms of consistency in probability for the parameter estimate. Under some mild uniformity assumptions on the conditional density parameterized by the unknown parameter, necessary and sufficient conditions for the unknown parameter to be identifiable are established. The assumptions and conditions are expressed in terms of the density of individual observations, conditioned upon all past observations. The results are applied to linear system identification problems.
  • Keywords
    Control systems; Kalman filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1971 IEEE Conference on
  • Conference_Location
    Miami Beach, FL, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1971.271048
  • Filename
    4044809