Identification of time-varying systems using a two-dimensional B-spline algorithm

Peter Zoltán Csurcsia, Johan Schoukens, I. Kollár

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

4 Citations (Scopus)

Abstract

This paper presents a new method which non-parametrically estimates a two dimensional impulse response function h LTV(t,τ) of slowly time-varying systems. A generalized B-spline technique is used for double smoothing: once over the different excitation times τ (which refers to the system memory) and once over the actual excitation time t (referring to the system behavior). If the change of the parameters of the observed system is sufficiently slow, with respect to the system dynamics, we will be able to 1) reduce the disturbing noise by additional smoothing 2) reduce the number of model parameters that need to be stored.

Original languageEnglish
Title of host publication2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings
Pages1056-1061
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012 - Graz, Austria
Duration: May 13 2012May 16 2012

Other

Other2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012
CountryAustria
CityGraz
Period5/13/125/16/12

Fingerprint

Time varying systems
Impulse response
Splines
Identification (control systems)
Dynamical systems
Data storage equipment

Keywords

  • B-spline
  • double smoothing
  • non-parametric identification
  • spline fitting
  • surface fitting
  • system identification
  • time-varying systems
  • two dimensional impulse response function

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Csurcsia, P. Z., Schoukens, J., & Kollár, I. (2012). Identification of time-varying systems using a two-dimensional B-spline algorithm. In 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings (pp. 1056-1061). [6229494] https://doi.org/10.1109/I2MTC.2012.6229494

Identification of time-varying systems using a two-dimensional B-spline algorithm. / Csurcsia, Peter Zoltán; Schoukens, Johan; Kollár, I.

2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings. 2012. p. 1056-1061 6229494.

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

Csurcsia, PZ, Schoukens, J & Kollár, I 2012, Identification of time-varying systems using a two-dimensional B-spline algorithm. in 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings., 6229494, pp. 1056-1061, 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012, Graz, Austria, 5/13/12. https://doi.org/10.1109/I2MTC.2012.6229494
Csurcsia PZ, Schoukens J, Kollár I. Identification of time-varying systems using a two-dimensional B-spline algorithm. In 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings. 2012. p. 1056-1061. 6229494 https://doi.org/10.1109/I2MTC.2012.6229494
Csurcsia, Peter Zoltán ; Schoukens, Johan ; Kollár, I. / Identification of time-varying systems using a two-dimensional B-spline algorithm. 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings. 2012. pp. 1056-1061
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