Sparse estimation techniques for basis function selection in wideband system identification
2012 (English)In: 16th IFAC Symposium on System Identification, IFAC , 2012, no PART 1, 977-982 p.Conference paper (Refereed)
This paper considers the use of sparse estimation techniques to determine an appropriate set of basis functions, in terms of the number of poles and their respective location, to be used in a system identification problem. In particular, the problem cast in the paper is based on the identification of set of parameters to represent a system of large dynamic range. The proposed solution is based on a LASSO-type sparse estimator, which provides an automatic method for selecting both the number of poles and their location. A simulation example is provided that consists of a highly resonant system with eight resonances that extends over 9 decades of frequency.
Place, publisher, year, edition, pages
IFAC , 2012. no PART 1, 977-982 p.
, IFAC Proceedings Volumes (IFAC-PapersOnline), ISSN 1474-6670 ; 16
Automatic method, Basis functions, Dynamic range, Resonant systems, Simulation example, Sparse estimation, System identification problems, Poles, Estimation
IdentifiersURN: urn:nbn:se:kth:diva-105444DOI: 10.3182/20120711-3-BE-2027.00281ScopusID: 2-s2.0-84867087459ISBN: 978-390282306-9OAI: oai:DiVA.org:kth-105444DiVA: diva2:571459
Universite Libre de Bruxelles, 11 July 2012 through 13 July 2012, Bruxelles
FunderICT - The Next Generation
QC 201211222012-11-222012-11-212016-04-11Bibliographically approved