Publication
Title
Non-parametric estimate of the system function of a time-varying system
Author
Abstract
The task of identifying an unknown dynamic system is made easier with prior knowledge on its behaviour. Using a frequency domain approach, the non-parametric maximum likelihood estimator of the system function, associated with the time-dependent impulse response of a time-varying system, is constructed. This is accomplished by the use of a simple linear least squares fitting algorithm, applied to the spectral response of the system to a multisine excitation. The noise variance on the system function is estimated simultaneously, and modelling errors can be detected, as illustrated on a simulation example. (C) 2012 Elsevier Ltd. All rights reserved.
Language
English
Source (journal)
Automatica / International Federation of Automatic Control. - Oxford
Publication
Oxford : 2012
ISSN
0005-1098
Volume/pages
48:4(2012), p. 666-672
ISI
000302766400012
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 14.09.2015
Last edited 07.12.2017