Identification of Time-varying Systems using a Two-dimensional B-spline Algorithm

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4 Citations (Scopus)

Abstract

This paper presents a new method which non-parametrically estimates a two dimensional impulse response function of slowly time-varying systems. A generalized B-spline technique is used for double smoothing: once over the different excitation times (which refers to the system memory) and once over the actual excitation time (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 publicationI2MTC 2012, IEEE International Instrumentation and Measurement Technology Conference, Graz, Austria, May 13-16, 2012
Pages1056-1061
Number of pages6
Publication statusPublished - 13 May 2012

Keywords

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

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