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Frequency-Domain Identification of Continuous-Time ARMA Models from Sampled Data
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2005 (English)In: Proceedings of 16th IFAC World Congress, 2005, 37-37 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper treats identification of continuous-time output error (OE) models based on sampled data. The exact method for doing this is well known both for data given in the time and frequency domains. This approach becomes some-what complex, especially for non-uniformly sampled data. We study various ways to approximate the exact method for reasonably fast sampling. While an objective is to gain insights into the non-uniform sampling case, this paper only gives explicit results for uniform sampling.

Place, publisher, year, edition, pages
2005. 37-37 p.
Keyword [en]
Continuous-time systems, Parameter estimation, Continuous-time ARMA, Noise model, Whittle likelihood estimator
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-89189DOI: 10.3182/20050703-6-CZ-1902.00038ISBN: 978-3-902661-75-3 (print)OAI: oai:DiVA.org:liu-89189DiVA: diva2:612664
Conference
16th IFAC World Congress, Prague, Czech Republic, July, 2005
Available from: 2013-03-23 Created: 2013-02-25 Last updated: 2013-09-15

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Gillberg, JonasLjung, Lennart

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