Publication
Title
Frequency domain weighted nonlinear least squares estimation of parameter-varying differential equations
Author
Abstract
This paper presents a frequency domain identification technique for estimation of Linear Parameter-Varying (LPV) differential equations. In a band-limited setting, it is shown that the time derivatives of the input and output signals can be computed exactly in the frequency domain, even for non-periodic inputs and parameter variations. The method operates in an errors-in-variables framework (noisy input and output), but the scheduling signal is assumed to be known. Under these conditions, the proposed estimator is proven to be consistent.
Language
English
Source (journal)
Automatica / International Federation of Automatic Control. - Oxford
Publication
Oxford : 2017
ISSN
0005-1098
DOI
10.1016/J.AUTOMATICA.2016.09.031
Volume/pages
75 (2017) , p. 191-199
ISI
000391077800024
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 15.11.2016
Last edited 09.10.2023
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