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Estimating the Total Model Error from Standard Model Validation Tests
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Chinese Academy of Sciences, China.
1996 (English)In: Proceedings of the 13th IFAC World Congress, 1996, Vol. I, 133-138 p.Conference paper (Refereed)
Abstract [en]

The problem of assessing the quality of a given, or estimated model is a central issue in system identification. Classical model validation procedures are considered. We discuss the principles by which we reach confidence in a model through such validation techniques, and also how the distance to a “true” description can be estimated this way. In particular we stress how the typical model validation procedure gives a direct measure of the model error of the model test, without referring to its ensemble properties. Several model error bounds are developed for various assumptions about the disturbances entering the system.

Place, publisher, year, edition, pages
1996. Vol. I, 133-138 p.
Keyword [en]
Model validation, Errors, Identification
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-93758ISBN: 0080429106OAI: diva2:628945
13th IFAC World Congress, San Francisco, CA, USA, June-July, 1996
Available from: 2013-06-15 Created: 2013-06-10 Last updated: 2013-06-15

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Ljung, Lennart
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Automatic ControlThe Institute of Technology
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