Regressor and structure selection in NARX models using a structured ANOVA approach [Elektronisk resurs] /Ingela Lind, Lennart Ljung
E-bokEngelska2007
Förlag, utgivningsår, omfång ...
Linköping :Linköping University Electronic Press,2007
16 s.
Nummerbeteckningar
LIBRIS-ID:16745543
Serie
LiTH-ISY-R,1400-3902 ;2799
Anmärkningar
Regressor selection can be viewed as the first step in the system identification process. The benefits of finding good regressors before estimating complex models are especially clear for nonlinear systems, where the class of possible models is huge. In this article, a structured way of using the tool analysis of variance (ANOVA) is presented and used for NARX model (nonlinear autoregressive model with exogenous input) identification with many candidate regressors.
Ämnesord och genrebeteckningar
Analysis of varianceNonlinear system identificationStructure identification