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

Péter Zoltán Csurcsia, Johan Schoukens, István 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 - Jan 1 2013
Event2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Funchal, Madeira, Portugal
Duration: Sep 16 2013Sep 18 2013

Publication series

Name2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings

Other

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

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

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  • 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] (2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings). IEEE Computer Society. https://doi.org/10.1109/WISP.2013.6657488