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Detection of Unmodeled Nonlinearities Using Correlation Methods
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Vrije Universiteit Brussel, Belgium.
Vrije Universiteit Brussel, Belgium.
2007 (English)In: Proceedings of the 2007 IEEE Instrumentation and Measurement Technology Conference, 2007, 1-6 p.Conference paper (Refereed)
Abstract [en]

This paper concerns the validation of linear models with respect to unmodeled nonlinearities. Two versions of a method for nonlinearity detection based on estimators of higher order cross-correlations are described and evaluated. Unlike many existing approaches, the proposed method seems to be applicable to a wide range of systems and input signals. It can also distinguish between even and odd nonlinearities.

Place, publisher, year, edition, pages
2007. 1-6 p.
Keyword [en]
System identification, Nonlinear systems, Linear models, Validation methods, Correlation
National Category
Engineering and Technology Control Engineering
URN: urn:nbn:se:liu:diva-39195DOI: 10.1109/IMTC.2007.379370Local ID: 47145ISBN: 1-4244-0588-2OAI: diva2:260044
2007 IEEE Instrumentation and Measurement Technology Conference, Warsaw, Poland, May, 2007
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2016-06-22

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Enqvist, Martin
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ReferencesLink to record
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