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Tools for Semi-Physical Modeling
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.
1994 (English)In: Proceedings of the 10th IFAC Symposium on System Identification, 1994, Vol. 3, 237-242 p.Conference paper, Published paper (Refereed)
Abstract [en]

By semi-physical modeling we mean such an application of system identification, where physical insight into the application is used to come up with suitable nonlinear transformations of the raw measurements, so as to allow for a good model structure. Semi-physical modeling is less "ambitious" than physical modeling, in that no complete physical structure is sought, just suitable inputs and outputs that can be subjected to more or less standard model structures, such as linear regressions. In this contribution we discuss various tools that can support the process of semi-physical modeling. We will deal both with analytical tools such as differential algebra and more informal ones such as the programming environment.

Place, publisher, year, edition, pages
1994. Vol. 3, 237-242 p.
Keyword [en]
Grey box modeling, Least-squares estimation, Nonlinear transformations, Semi-physical modeling; Software tools, System identification
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-94044ISBN: 978-0080422251 (print)OAI: oai:DiVA.org:liu-94044DiVA: diva2:630043
Conference
10th IFAC Symposium on System Identification, Copenhagen, Denmark, July, 1994
Available from: 2013-06-18 Created: 2013-06-16 Last updated: 2013-06-18

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Ljung, Lennart

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