Model Validation and Model Error Modeling
1999 (English)Report (Other academic)
To validate an estimated model and to have a good understanding of its reliability is a central aspect of System Identification. This contribution discusses these aspects in the light of model error models that are explicit descriptions of the model error. A model error model is implicitly present in most model validation methods, so the concept is more of a representation form than a set of new techniques. Traditional model validation is essentially a test of whether the confidence region of the model error model contains the zero model. However, the model error model allows a better visualization of the possible deficiencies of the nominal model. Based on such information, the nominal model may very well be accepted even if the model error model does not contain the zero model. Conversely, it will be illustrated that the model error model may give good reason - because of if its more precise infomation - to reject a nominal model, that has passed a conventional model validation test.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1999. , 24 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2125
Model validation, Model error models
IdentifiersURN: urn:nbn:se:liu:diva-55695ISRN: LiTH-ISY-R-2125OAI: oai:DiVA.org:liu-55695DiVA: diva2:316456