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Title
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Nonparametric estimation of the best linear time-invariant approximation of a linear time-varying system
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Author
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Abstract
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| 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. |
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Language
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English
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Source (journal)
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Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes. - [New York
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Source (book)
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52nd IEEE Annual Conference on Decision and Control (CDC), Dec 10-13, 2013, Florence, Italy
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Publication
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New York, N.Y.
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IEEE
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2013
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ISBN
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978-1-4673-5717-3
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Volume/pages
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(2013)
, p. 5846-5851
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ISI
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000352223506094
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