Publication
Title
Nonparametric estimation of the best linear time-invariant approximation of a linear time-varying system
Author
Abstract
Nonparametric frequency response function (FRF) estimates are a standard tool to get quickly insight into the dynamic behavior of complex systems. However, in quite some applications the time-invariance assumption is not exactly met. Therefore, it is important to detect and quantify the deviation from the ideal time-invariant framework that is inherent to the concept of an FRF. In this paper we present a new (direct) method for estimating the best linear time-invariant approximation of a linear time-variant system, and compare it with an existing indirect approach.
Language
English
Source (journal)
Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes. - [New York
Source (book)
52nd IEEE Annual Conference on Decision and Control (CDC), Dec 10-13, 2013, Florence, Italy
Publication
New York, N.Y. : IEEE, 2013
ISBN
978-1-4673-5717-3
Volume/pages
(2013), p. 5846-5851
ISI
000352223506094
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 14.09.2015
Last edited 08.06.2017