DocumentCode :
14728
Title :
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
Link To Document :
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