Estimation of Grey Box and Black Box Models for Non-Linear Circuit Data
2007 (English)Report (Other academic)
Identification of non-linear systems is a challenge, due to the richness of both model structures and estimation approaches. As a case study, in this paper we test a number of methods on a data set collected from an electrical circuit at the Free University of Brussels. These methods are based on black box and grey box model structures or on a mixture of them, which are all implemented in a forthcoming Matlab toolbox. The results of this case study illustrate the importance of the use of custom (user defined) regressors in a black box model. Based on physical knowledge or on insights gained through experience, such custom regressors allow to build efficient models with a relatively simple model structure.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2007. , 9 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2792
IdentifiersURN: urn:nbn:se:liu:diva-56058ISRN: LiTH-ISY-R-2792OAI: oai:DiVA.org:liu-56058DiVA: diva2:316882