Sparse estimation techniques for basis function selection in wideband system identification

Title: Sparse estimation techniques for basis function selection in wideband system identification
Creator: Welsh, James S.; Rojas, Cristian R.; Hjalmarsson, Håkan; Wahlberg, Bo
Relation: 16th IFAC Symposium on System Identification (SYSID 2012). Proceedings of the 16th IFAC Symposium on System Identification (SYSID 2012) (Bruxelles, Belgium 11-13 July, 2012) p. 977-982
Publisher Link: http://dx.doi.org/10.3182/20120711-3-BE-2027.00281
Publisher: IFAC
Resource Type: conference paper
Date: 2012
Description: 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.
Subject: LASSO; FLBF; poles; sparse estimation techniques
Identifier: http://hdl.handle.net/1959.13/1309191
Identifier: uon:21799
Identifier: ISBN:9783902823069
Language: eng
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