Regularized Structured Total Least Norm for the Identification of Bilinear Systems in the Errors-in-Variables Framework

I
ICONS
2008
Third International Conference on Systems (icons 2008)
Abstract - Regularized Structured Total Least Norm for the Identification of Bilinear Systems in the Errors-in-Variables Framework

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	Similar Articles Articles by Tomasz Larkowski Articles by Jens G. Linden Articles by Benoit Vinsonneau Articles by Keith J. Burnham

Third International Conference on Systems (icons 2008)

April 13-April 18

ISBN: 978-0-7695-3105-2

	ASCII Text	x
	Tomasz Larkowski, Jens G. Linden, Benoit Vinsonneau, Keith J. Burnham, "Regularized Structured Total Least Norm for the Identification of Bilinear Systems in the Errors-in-Variables Framework," Systems, Second International Conference on, pp. 128-133, Third International Conference on Systems (icons 2008), 2008.

	BibTex	x
	@article{ 10.1109/ICONS.2008.71, author = {Tomasz Larkowski and Jens G. Linden and Benoit Vinsonneau and Keith J. Burnham}, title = {Regularized Structured Total Least Norm for the Identification of Bilinear Systems in the Errors-in-Variables Framework}, journal ={Systems, Second International Conference on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3105-2}, pages = {128-133}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICONS.2008.71}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Systems, Second International Conference on TI - Regularized Structured Total Least Norm for the Identification of Bilinear Systems in the Errors-in-Variables Framework SN - 978-0-7695-3105-2 SP128 EP133 A1 - Tomasz Larkowski, A1 - Jens G. Linden, A1 - Benoit Vinsonneau, A1 - Keith J. Burnham, PY - 2008 KW - Bilinear systems KW - Errors-in-variables KW - Identification KW - Regularization KW - Total least norm VL - 0 JA - Systems, Second International Conference on ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICONS.2008.71

The paper addresses the identification of time-invariant bilinear system (BS) models in the errors-in-variables (EIV) framework. The proposed scheme is based on the structured total least norm (STLN) technique extended here to handle BS. The performance of the presented approach, i.e. the bilinear STLN (BSTLN) with its further extension incorporating the Tikhonov regularization is compared to several other EIV identification techniques via an extensive Monte-Carlo simulation study. The results obtained demonstrate a considerable noise robustness and, therefore, the applicability of the BSTLN algorithm in the EIV framework.

Index Terms:

Bilinear systems, Errors-in-variables, Identification, Regularization, Total least norm

Citation:

Tomasz Larkowski, Jens G. Linden, Benoit Vinsonneau, Keith J. Burnham, "Regularized Structured Total Least Norm for the Identification of Bilinear Systems in the Errors-in-Variables Framework," icons, pp.128-133, Third International Conference on Systems (icons 2008), 2008

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