A first study of using B-splines in nonparametric system identification

Author

Csurcsia, Peter Zoltan ; Schoukens, Johan ; Kollar, Istvan

Author_Institution

Vrije Univ. Brussel, Brussels, Belgium

fYear

2013

fDate

16-18 Sept. 2013

Firstpage

87

Lastpage

92

Abstract

This contribution presents a smoothing technique for the identification of systems with a smooth impulse response function. Using a generalized and modified B-spline based methodology, an impulse response function can be estimated in the time domain or a frequency response function in the frequency domain. With respect to the system dynamics, it is possible 1) to reduce the disturbing noise 2) to decrease the effect of transients 3) to reduce the number of model parameters.

Keywords

frequency response; frequency-domain analysis; identification; nonparametric statistics; smoothing methods; splines (mathematics); time-domain analysis; transient response; B-splines; frequency domain; frequency response function; generalized B-spline based method; impulse response function estimation; model parameters; modified B-spline based method; noise reduction; nonparametric system identification; smooth impulse response function; smoothing technique; system dynamics; time domain; transient effect; Approximation methods; Estimation; Noise; Smoothing methods; Splines (mathematics); Time-domain analysis; Transient analysis; B-spline; curve fitting; impulse response function; noise rejection; non-parametric identification; order reduction; smoothing; system identification; time-invariant systems; transient handling;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing (WISP), 2013 IEEE 8th International Symposium on

Conference_Location

Funchal

Print_ISBN

978-1-4673-4543-9

Type

conf

DOI

10.1109/WISP.2013.6657488

Filename

6657488