Frequency-domain identification of linear systems using arbitrary excitations and a nonparametric noise model

Authors
Schoukens, J Vandersteen, G Pintelon, R Guillaume, P
Citation
J. Schoukens et al., Frequency-domain identification of linear systems using arbitrary excitations and a nonparametric noise model, IEEE AUTO C, 44(2), 1999, pp. 343-347
Citations number
15
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN journal
00189286 → ACNP
Volume
44
Issue
2
Year of publication
1999
Pages
343 - 347
Database
ISI
SICI code
0018-9286(199902)44:2<343:FIOLSU>2.0.ZU;2-8
Abstract
This paper presents a generalized frequency domain identification method to identify single-input/single-output (SISO) systems combining two previousl y published extensions in one method: arbitrary but persistent excitations are allowed and a nonparametric noise model is extracted from the same data that are used to identify the system. The method is directly applicable to identification in feedback if an external persistently exciting reference signal is available.