An application example for the B-spline based nonparametric system identification

Peter Zoltan Csurcsia; Joannes Schoukens; István Kollár

An application example for the B-spline based nonparametric system identification

Peter Zoltan Csurcsia, Joannes Schoukens, István Kollár

Electricity

Research output: Chapter in Book/Report/Conference proceeding › Meeting abstract (Book)

Abstract

The goal of this paper is to present a smoothing technique for the identification of systems whose frequency response function (FRF) is smooth. Using a generalized and modified B-spline based methodology an FRF can be estimated. With respect to the system dynamics, it can be possible 1) to reduce the disturbing noise 2) to decrease the effect of transients 3) to reduce the number of model parameters.

Original language	English
Title of host publication	32nd Benelux Meeting on Systems and Control, March 26-28, OL FOSSE D’OUTH, Houffalize, Belgium
Publication status	Published - 26 Mar 2013
Event	Unknown - Duration: 26 Mar 2013 → …

Conference

Conference	Unknown
Period	26/03/13 → …

Keywords

nonparametric system identification

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title = "An application example for the B-spline based nonparametric system identification",

abstract = "The goal of this paper is to present a smoothing technique for the identification of systems whose frequency response function (FRF) is smooth. Using a generalized and modified B-spline based methodology an FRF can be estimated. With respect to the system dynamics, it can be possible 1) to reduce the disturbing noise 2) to decrease the effect of transients 3) to reduce the number of model parameters.",

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T1 - An application example for the B-spline based nonparametric system identification

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AU - Schoukens, Joannes

AU - Kollár, István

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AB - The goal of this paper is to present a smoothing technique for the identification of systems whose frequency response function (FRF) is smooth. Using a generalized and modified B-spline based methodology an FRF can be estimated. With respect to the system dynamics, it can be possible 1) to reduce the disturbing noise 2) to decrease the effect of transients 3) to reduce the number of model parameters.

KW - nonparametric system identification

M3 - Meeting abstract (Book)

BT - 32nd Benelux Meeting on Systems and Control, March 26-28, OL FOSSE D’OUTH, Houffalize, Belgium

T2 - Unknown

Y2 - 26 March 2013

ER -

An application example for the B-spline based nonparametric system identification

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