Model Order Selection of N-FIR Models by the Analysis of Variance Method
1999 (English)Report (Other academic)
Identification of non-linear finite impulse response (N-FIR) models is studied. In particular the selection of model structure, i.e., to find the contributing input time lags, is examined. A common method, exhaustive search among models with all possible combinations of the input time lags, has some undesired drawbacks, as a tendency that the minimization algorithm gets stuck in local minima and heavy computations. To avoid these drawbacks we need to know the model structure prior to identifying a model. In this report we show that a statistical method, the multivariate analysis of variance, is a good alternative to exhaustive search in the identification of the structure of non-linear FIR-models. We can reduce the risks of getting an erroneous model structure due to the non-convexity of the minimization problems, reduce the computation time needed and also get a good estimate of how far we can enhance the fit of the desired model.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1999. , 10 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2210
Model order selection, Identification, Non-linear FIR models, Analysis of variance
IdentifiersURN: urn:nbn:se:liu:diva-55855ISRN: LiTH-ISY-R-2210OAI: oai:DiVA.org:liu-55855DiVA: diva2:316681