Some Aspects of Nonlinear Black-Box Modeling in System Identification
1995 (English)Report (Other academic)
The key problem in system identification is to find a suitable model structure, within which a good model is to be found. Fitting a model within a given structure (parameter estimation) is in most cases a lesser problem. A basic rule in estimation is not to estimate what you already know. In other words, one should utilize prior knowledge and physical insight about the system when selecting the model structure. It is customary to distinguish between three levels of prior knowledge, which have been color-coded as follows.
Place, publisher, year, edition, pages
Linköping: Linköping University , 1995. , 12 p.
LiTH-ISY-R, ISSN 1400-3902 ; 1795
System identification, Black box models, Non-linear black-box modeling
IdentifiersURN: urn:nbn:se:liu:diva-55286ISRN: LiTH-ISY-R-1795OAI: oai:DiVA.org:liu-55286DiVA: diva2:315838