Nonparametric Time-Domain Identification of Linear Slowly Time-Variant Systems Using B-Splines

Author

Csurcsia, Peter Zoltan ; Schoukens, Johan ; Kollar, Istvan ; Lataire, J.

Author_Institution

Dept. of Fundamental Electr. & Instrum, Vrije Univ. Brussel, Brussels, Belgium

Volume

64

Issue

1

fYear

2015

fDate

Jan. 2015

Firstpage

252

Lastpage

262

Abstract

This paper presents a nonparametric time-domain estimation method for linear slowly time-varying systems. The proposed method uses a 2-D impulse response function. That is modeled by a generalized B-spline smoothing technique. This means that double smoothing is applied: once over the different realizations (referring to the system behavior) and once over the global time (referring to the system memory). With respect to the system dynamics using the proposed method, it is possible to reduce the model order and to decrease the effect of the disturbing noise.

Keywords

identification; reduced order systems; splines (mathematics); time-domain analysis; transient response; 2D impulse response function; B-splines; generalized B-spline smoothing technique; linear slowly time-variant system; nonparametric time-domain identification; reduced order model; Estimation; Interpolation; Noise; Smoothing methods; Splines (mathematics); Time-domain analysis; Time-varying systems; B-spline; impulse response function; order reduction; smoothing; system identification; time-variant system;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2014.2338671

Filename

6872554