Output details
15 - General Engineering
University of Sheffield
Article title
An adaptive orthogonal search algorithm for model subset selection and non-linear system identification
Type
D - Journal article
Title of journal
International Journal of Control
Article number
-
Volume number
81
Issue number
5
First page of article
714
ISSN of journal
13665820
Year of publication
2008
URL
-
Number of additional authors
1
Additional information
Model subset selection is a fundamental problem in data analysis. This paper introduces new concepts in model selection that have subsequently led to the award of a multi-disciplinary grant from NERC NE/H023402/1 £310K 01/2011-01/2014 and resulted in an EPSRC Platform Grant EP/H00453X/1 £1.2M 01/2010-01/2015. The proposed algorithms also led to successful applications in the analysis of Greenland melting and iceberg calving (Prof G Bigg, Dept Geography, University of Sheffield) and space weather (Dr Lutz Rastaetter, Space Weather Laboratory, NASA/Goddard Space Flight Centre).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
