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

Péter Zoltán Csurcsia, Johan Schoukens, I. Kollár

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings
PublisherIEEE Computer Society
Pages87-92
Number of pages6
ISBN (Print)9781467345439
DOIs
Publication statusPublished - 2013
Event2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Funchal, Madeira, Portugal
Duration: Sep 16 2013Sep 18 2013

Other

Other2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013
CountryPortugal
CityFunchal, Madeira
Period9/16/139/18/13

Fingerprint

Splines
Identification (control systems)
Impulse response
Frequency response
Dynamical systems

Keywords

  • B-spline
  • curve fitting
  • impulse response function
  • noise rejection
  • non-parametric identification
  • order reduction
  • smoothing
  • system identification
  • time-invariant systems
  • transient handling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

Cite this

Csurcsia, P. Z., Schoukens, J., & Kollár, I. (2013). A first study of using B-splines in nonparametric system identification. In 2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings (pp. 87-92). [6657488] IEEE Computer Society. https://doi.org/10.1109/WISP.2013.6657488

A first study of using B-splines in nonparametric system identification. / Csurcsia, Péter Zoltán; Schoukens, Johan; Kollár, I.

2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings. IEEE Computer Society, 2013. p. 87-92 6657488.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Csurcsia, PZ, Schoukens, J & Kollár, I 2013, A first study of using B-splines in nonparametric system identification. in 2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings., 6657488, IEEE Computer Society, pp. 87-92, 2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013, Funchal, Madeira, Portugal, 9/16/13. https://doi.org/10.1109/WISP.2013.6657488
Csurcsia PZ, Schoukens J, Kollár I. A first study of using B-splines in nonparametric system identification. In 2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings. IEEE Computer Society. 2013. p. 87-92. 6657488 https://doi.org/10.1109/WISP.2013.6657488
Csurcsia, Péter Zoltán ; Schoukens, Johan ; Kollár, I. / A first study of using B-splines in nonparametric system identification. 2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings. IEEE Computer Society, 2013. pp. 87-92
@inproceedings{b3ec6bfbfd6748edaddfe67a3f6ccdd5,
title = "A first study of using B-splines in nonparametric system identification",
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 = "B-spline, curve fitting, impulse response function, noise rejection, non-parametric identification, order reduction, smoothing, system identification, time-invariant systems, transient handling",
author = "Csurcsia, {P{\'e}ter Zolt{\'a}n} and Johan Schoukens and I. Koll{\'a}r",
year = "2013",
doi = "10.1109/WISP.2013.6657488",
language = "English",
isbn = "9781467345439",
pages = "87--92",
booktitle = "2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - A first study of using B-splines in nonparametric system identification

AU - Csurcsia, Péter Zoltán

AU - Schoukens, Johan

AU - Kollár, I.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - B-spline

KW - curve fitting

KW - impulse response function

KW - noise rejection

KW - non-parametric identification

KW - order reduction

KW - smoothing

KW - system identification

KW - time-invariant systems

KW - transient handling

UR - http://www.scopus.com/inward/record.url?scp=84892648079&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84892648079&partnerID=8YFLogxK

U2 - 10.1109/WISP.2013.6657488

DO - 10.1109/WISP.2013.6657488

M3 - Conference contribution

AN - SCOPUS:84892648079

SN - 9781467345439

SP - 87

EP - 92

BT - 2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings

PB - IEEE Computer Society

ER -