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Estimation Focus in System Identification: Prefiltering, Noise Models, and Prediction
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1999 (English)In: Proceedings of the 38th IEEE Conference on Decision and Control, 1999, 2810-2815 vol.3 p.Conference paper, Published paper (Refereed)
Abstract [en]

We review some features related to the use of prefiltering data for identification. In addition to the well known interplay between noise models and prefilters we discuss how to find a compromise between the need for a noise model, at the same time as having control of the approximation properties of the model. The statistical paradigm tells us to use high order models so that the bias distribution aspect of the prefilter can be neglected. For real data this may however be infeasible. The discussion is illustrated with both simulated and real data.

Place, publisher, year, edition, pages
1999. 2810-2815 vol.3 p.
Keyword [en]
FIltering, Identification, Statistical analysis
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-94087DOI: 10.1109/CDC.1999.831359ISBN: 0-7803-5250-5 (print)OAI: oai:DiVA.org:liu-94087DiVA: diva2:629109
Conference
38th IEEE Conference on Decision and Control, Phoenix, AZ, USA, December, 1999
Available from: 2013-06-16 Created: 2013-06-16 Last updated: 2013-06-16

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Ljung, Lennart

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CiteExportLink to record
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Citation style
  • apa
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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