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Title: Box-Jenkins continuous-time modeling
Authors: Pintelon, R ×
Schoukens, Joannes
Rolain, Y #
Issue Date: Jul-2000
Publisher: Pergamon-elsevier science ltd
Series Title: Automatica vol:36 issue:7 pages:983-991
Abstract: This paper treats the identification of continuous-time models using arbitrary band-limited excitation Signals. A modeling approach is presented that has the following two advantages: (1) asymptotically(the amount of data tends to infinity) there is no approximation error over the complete frequency band from DC to Nyquist, (2) it allows to identify general parametric noise models. The key idea is to combine a continuous-time plant model with a discrete-time noise model( =hybrid Box-Jenkins model structure). (C) 2000 Elsevier Science Ltd. All rights reserved.
URI: 
ISSN: 0005-1098
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
× corresponding author
# (joint) last author

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