Identification of Wiener models with data pre-filtering

C.T. Chou*, M. Verhaegen

*Corresponding author for this work

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

    6 Downloads (Pure)

    Abstract

    In this work, an attempt is made to show that pre-filtering can be used together with the correlation approach to identify nonlinear Wiener models provided that the input is Gaussian distributed. An application of this result is to identify Wiener models whose outputs are corrupted by integrated white noise by using high-pass filters as prefilters.

    Original languageEnglish
    Title of host publicationProceedings of the 38th IEEE Conference on Decision and Control (CDC 1999)
    Place of PublicationLos Alamitos, CA
    PublisherIEEE
    Pages604-605
    Number of pages2
    Volume1
    ISBN (Print)0-7803-5250-5
    DOIs
    Publication statusPublished - 1999
    Event38th IEEE Conference on Decision and Control, CDC 1999 - Phoenix, United States
    Duration: 7 Dec 199910 Dec 1999
    Conference number: 38

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control (CDC)
    PublisherIEEE
    Number38
    Volume1999
    ISSN (Print)0191-2216

    Conference

    Conference38th IEEE Conference on Decision and Control, CDC 1999
    Abbreviated titleCDC
    Country/TerritoryUnited States
    CityPhoenix
    Period7/12/9910/12/99

    Keywords

    • n/a OA procedure

    Fingerprint

    Dive into the research topics of 'Identification of Wiener models with data pre-filtering'. Together they form a unique fingerprint.

    Cite this