Continuous-time model identification, model reduction and emulation

Peter C. Young*

*Corresponding author for this work

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

    1 Citation (Scopus)

    Abstract

    In the last few years, there has been a resurgence of interest in continuous-time model identification and estimation. The main aim of this paper is to demonstrate the advantages of the Refined Instrumental Variable method for Continuous-time model identification and estimation (RIVC) in the areas of model order reduction and large computer model emulation. Such emulation models are based on a set of reduced order models, whose parameters are mapped to the parameters of the large model so that the emulation model can act as a surrogate for the large model in applications such as sensitivity analysis, forecasting and control system design.

    Original languageEnglish
    Title of host publicationUKACC International Conference on CONTROL 2010
    Pages1235-1240
    Number of pages6
    Edition4
    DOIs
    Publication statusPublished - 2010
    EventUKACC International Conference on CONTROL 2010 - Coventry, United Kingdom
    Duration: 7 Sept 201010 Sept 2010

    Publication series

    NameIET Seminar Digest
    Number4
    Volume2010

    Conference

    ConferenceUKACC International Conference on CONTROL 2010
    Country/TerritoryUnited Kingdom
    CityCoventry
    Period7/09/1010/09/10

    Fingerprint

    Dive into the research topics of 'Continuous-time model identification, model reduction and emulation'. Together they form a unique fingerprint.

    Cite this