Identification of System Parameters by the Random Decrement Technique

Rune Brincker, Poul Henning Kirkegaard, Anders Rytter

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

    39 Downloads (Pure)

    Resumé

    The aim of this paper is to investigate and illustrate the possibilities of using correlation functions estimated by the Random Decrement Technique as a basis for parameter identification. A two-stage system identification system is used: first, the correlation functions are estimated by the Random Decrement Technique, and then the system parameters are identified from the correlation function estimates. Three different techniques are used in the parameter identification process: a simple non-parametric method, estimation of an Auto Regressive (AR) model by solving an overdetermined set of Yule-Walker equations and finally, least-square fitting of the theoretical correlation function. The results are compared to the results of fitting an Auto Regressive Moving Average (ARMA) model directly to the system output from a single-degree-of-freedom system loaded by white noise.
    OriginalsprogEngelsk
    TitelProceedings of the Florence Modal Analysis Conference
    Antal sider8
    Udgivelses stedFirenze
    ForlagFintito di Stampare presso il Centro Duplicazione Offset
    Publikationsdatosep. 1991
    Sider465-472
    StatusUdgivet - sep. 1991
    BegivenhedFlorence Modal Analysis Conference - Firenze, Italien
    Varighed: 10 sep. 199112 sep. 1991

    Konference

    KonferenceFlorence Modal Analysis Conference
    LandItalien
    ByFirenze
    Periode10/09/199112/09/1991

    Fingerprint

    Identification (control systems)
    White noise

    Emneord

    • RDD
    • Parameter Identifications
    • AR
    • ARMA

    Citer dette

    Brincker, R., Kirkegaard, P. H., & Rytter, A. (1991). Identification of System Parameters by the Random Decrement Technique. I Proceedings of the Florence Modal Analysis Conference (s. 465-472). Firenze: Fintito di Stampare presso il Centro Duplicazione Offset.
    Brincker, Rune ; Kirkegaard, Poul Henning ; Rytter, Anders. / Identification of System Parameters by the Random Decrement Technique. Proceedings of the Florence Modal Analysis Conference. Firenze : Fintito di Stampare presso il Centro Duplicazione Offset, 1991. s. 465-472
    @inproceedings{b32f7ec0763911dcb55f000ea68e967b,
    title = "Identification of System Parameters by the Random Decrement Technique",
    abstract = "The aim of this paper is to investigate and illustrate the possibilities of using correlation functions estimated by the Random Decrement Technique as a basis for parameter identification. A two-stage system identification system is used: first, the correlation functions are estimated by the Random Decrement Technique, and then the system parameters are identified from the correlation function estimates. Three different techniques are used in the parameter identification process: a simple non-parametric method, estimation of an Auto Regressive (AR) model by solving an overdetermined set of Yule-Walker equations and finally, least-square fitting of the theoretical correlation function. The results are compared to the results of fitting an Auto Regressive Moving Average (ARMA) model directly to the system output from a single-degree-of-freedom system loaded by white noise.",
    keywords = "RDD, Parameter Identifications, AR, ARMA, RDD, Parameter Identifications, AR, ARMA",
    author = "Rune Brincker and Kirkegaard, {Poul Henning} and Anders Rytter",
    year = "1991",
    month = "9",
    language = "English",
    pages = "465--472",
    booktitle = "Proceedings of the Florence Modal Analysis Conference",
    publisher = "Fintito di Stampare presso il Centro Duplicazione Offset",

    }

    Brincker, R, Kirkegaard, PH & Rytter, A 1991, Identification of System Parameters by the Random Decrement Technique. i Proceedings of the Florence Modal Analysis Conference. Fintito di Stampare presso il Centro Duplicazione Offset, Firenze, s. 465-472, Florence Modal Analysis Conference, Firenze, Italien, 10/09/1991.

    Identification of System Parameters by the Random Decrement Technique. / Brincker, Rune; Kirkegaard, Poul Henning; Rytter, Anders.

    Proceedings of the Florence Modal Analysis Conference. Firenze : Fintito di Stampare presso il Centro Duplicazione Offset, 1991. s. 465-472.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

    TY - GEN

    T1 - Identification of System Parameters by the Random Decrement Technique

    AU - Brincker, Rune

    AU - Kirkegaard, Poul Henning

    AU - Rytter, Anders

    PY - 1991/9

    Y1 - 1991/9

    N2 - The aim of this paper is to investigate and illustrate the possibilities of using correlation functions estimated by the Random Decrement Technique as a basis for parameter identification. A two-stage system identification system is used: first, the correlation functions are estimated by the Random Decrement Technique, and then the system parameters are identified from the correlation function estimates. Three different techniques are used in the parameter identification process: a simple non-parametric method, estimation of an Auto Regressive (AR) model by solving an overdetermined set of Yule-Walker equations and finally, least-square fitting of the theoretical correlation function. The results are compared to the results of fitting an Auto Regressive Moving Average (ARMA) model directly to the system output from a single-degree-of-freedom system loaded by white noise.

    AB - The aim of this paper is to investigate and illustrate the possibilities of using correlation functions estimated by the Random Decrement Technique as a basis for parameter identification. A two-stage system identification system is used: first, the correlation functions are estimated by the Random Decrement Technique, and then the system parameters are identified from the correlation function estimates. Three different techniques are used in the parameter identification process: a simple non-parametric method, estimation of an Auto Regressive (AR) model by solving an overdetermined set of Yule-Walker equations and finally, least-square fitting of the theoretical correlation function. The results are compared to the results of fitting an Auto Regressive Moving Average (ARMA) model directly to the system output from a single-degree-of-freedom system loaded by white noise.

    KW - RDD

    KW - Parameter Identifications

    KW - AR

    KW - ARMA

    KW - RDD

    KW - Parameter Identifications

    KW - AR

    KW - ARMA

    M3 - Article in proceeding

    SP - 465

    EP - 472

    BT - Proceedings of the Florence Modal Analysis Conference

    PB - Fintito di Stampare presso il Centro Duplicazione Offset

    CY - Firenze

    ER -

    Brincker R, Kirkegaard PH, Rytter A. Identification of System Parameters by the Random Decrement Technique. I Proceedings of the Florence Modal Analysis Conference. Firenze: Fintito di Stampare presso il Centro Duplicazione Offset. 1991. s. 465-472