On Variable Selection of a Nonlinear Non-parametric System with a Limited Data Set: A Stepwise Algorithm

Er-Wei Bai, Kang Li, Wenxiao Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

his paper considers a problem of identification for a high dimensional nonlinear non-parametric system when only a limited data set is available. The algorithms are proposed for this purpose which exploit the relationship between the input variables and the output and further the inter-dependence of input variables so that the importance of the input variables can be established. A key to these algorithms is the non-parametric two stage input selection algorithm.
Original languageEnglish
Title of host publicationProceedings of the 19th IFAC World Congress, 2014
PublisherInternational Federation of Automatic Control
Pages4979-4984
Number of pages6
Volume19
ISBN (Print)9783902823625
DOIs
Publication statusPublished - 29 Aug 2014
Event19th World Congress of the International Federation of Automatic Control (IFAC 2014) - Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014

Publication series

NameWorld Congress
PublisherInternational Federation of Automatic Control
NumberPart 1
Volume19
ISSN (Electronic)1474-6670

Conference

Conference19th World Congress of the International Federation of Automatic Control (IFAC 2014)
CountrySouth Africa
CityCape Town
Period24/08/201429/08/2014

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