Zhao, W, Chen, H-F, Bai, E-W et al. (1 more author) (2017) Strong consistency of kernel-based local variable selection for nonlinear nonparametric systems. In: Porceedings of the 2016 Australian Control Conference (AuCC). 2016 Australian Control Conference (AuCC), 03-04 Nov 2016, Newcastle, NSW, Australia. IEEE , pp. 221-225. ISBN 978-1-922107-90-9
Abstract
Local variable selection by first order expansion for nonlinear nonparametric systems is investigated in the paper. By substantially modifying the algorithms developed in our earlier work, the previous results have been considerably strengthened under much less restrictive conditions. Precisely, the estimates generated by the modified algorithms are shown to have both the set and parameter convergence with probability one, rather than only the set convergence in probability given in our earlier work.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Nonlinear ARX system; variable selection; local linear estimator; strong consistency |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Nov 2019 13:10 |
Last Modified: | 05 Nov 2019 13:10 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/aucc.2016.7868192 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153041 |