Identification of System Parameters by the Random Decrement Technique

Rune Brincker, Poul Henning Kirkegaard, Anders Rytter

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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
ForlagDipartimento di Meccanica e Technologie Industriali
Publikationsdato1991
Sider465-472
StatusUdgivet - 1991
Udgivet eksterntJa
BegivenhedFlorence Modal Analysis Conference - Firenze, Italien
Varighed: 10. sep. 199112. sep. 1991

Konference

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

Fingeraftryk

Identification (control systems)
White noise

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). Dipartimento di Meccanica e Technologie Industriali.
Brincker, Rune ; Kirkegaard, Poul Henning ; Rytter, Anders. / Identification of System Parameters by the Random Decrement Technique. Proceedings of the Florence Modal Analysis Conference. Dipartimento di Meccanica e Technologie Industriali, 1991. s. 465-472
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Brincker, R, Kirkegaard, PH & Rytter, A 1991, Identification of System Parameters by the Random Decrement Technique. i Proceedings of the Florence Modal Analysis Conference. Dipartimento di Meccanica e Technologie Industriali, 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. Dipartimento di Meccanica e Technologie Industriali, 1991. s. 465-472.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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AU - Kirkegaard, Poul Henning

AU - Rytter, Anders

PY - 1991

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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.

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Brincker R, Kirkegaard PH, Rytter A. Identification of System Parameters by the Random Decrement Technique. I Proceedings of the Florence Modal Analysis Conference. Dipartimento di Meccanica e Technologie Industriali. 1991. s. 465-472