Refined instrumental variable methods for identification of Hammerstein continuous-time box-jenkins models

V. Laurain*, M. Gilson, H. Garnier, P. C. Young

*Corresponding author for this work

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

    34 Citations (Scopus)

    Abstract

    This article presents instrumental variable methods for direct continuous-time estimation of a Hammerstein model. The non-linear function is a sum of known basis functions and the linear part is a Box-Jenkins model. Although the presented algorithm is not statistically optimal, this paper further shows the performance of the presented algorithms and the advantages of continuous-time estimation on relevant simulations.

    Original languageEnglish
    Title of host publicationProceedings of the 47th IEEE Conference on Decision and Control, CDC 2008
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1386-1391
    Number of pages6
    ISBN (Print)9781424431243
    DOIs
    Publication statusPublished - 2008
    Event47th IEEE Conference on Decision and Control, CDC 2008 - Cancun, Mexico
    Duration: 9 Dec 200811 Dec 2008

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control
    ISSN (Print)0743-1546
    ISSN (Electronic)2576-2370

    Conference

    Conference47th IEEE Conference on Decision and Control, CDC 2008
    Country/TerritoryMexico
    CityCancun
    Period9/12/0811/12/08

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