Parameter estimation from noisy observation of imputs and outputs

J.M. Vregelaar, ten

    Research output: Book/ReportReportAcademic

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    Abstract

    In this paper an algorithm is given to compute least squares estimates for the parameters of a dynamic model from noisy measurements of inputs and outputs. The corresponding estimators are proven to be strongly consistent and asymptotically normal under some assumptions. Keywords: Least squares parameter estimation. ARMA-representation, Errors-in-variables, Consistency, Asymptotic normality.
    Original languageEnglish
    Place of PublicationEindhoven
    PublisherTechnische Universiteit Eindhoven
    Number of pages24
    Publication statusPublished - 1988

    Publication series

    NameMemorandum COSOR
    Volume8813
    ISSN (Print)0926-4493

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