Time variable parameter estimation

Peter C. Young*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)

    Abstract

    The paper outlines the development of time variable parameter (TVP) estimation as an approach to modelling time varying dynamic systems. It then describes one of the latest methods for estimating time variable parameters in transfer function models and shows how it overcomes problems associated with earlier methods based on the least squares estimation of time variable parameters in the more restricted auto-regressive, exogenous variables (ARX) model. This 'dynamic transfer function' (DTF) estimation methodology is a combination of recursive-iterative instrumental variable filtering and fixed interval smoothing algorithms.

    Original languageEnglish
    Title of host publication15th Symposium on System Identification, SYSID 2009 - Preprints
    Pages432-437
    Number of pages6
    EditionPART 1
    DOIs
    Publication statusPublished - 2009
    Event15th IFAC Symposium on System Identification, SYSID 2009 - Saint-Malo, France
    Duration: 6 Jul 20098 Jul 2009

    Publication series

    NameIFAC Proceedings Volumes (IFAC-PapersOnline)
    NumberPART 1
    Volume15
    ISSN (Print)1474-6670

    Conference

    Conference15th IFAC Symposium on System Identification, SYSID 2009
    Country/TerritoryFrance
    CitySaint-Malo
    Period6/07/098/07/09

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