DocumentCode :
3443319
Title :
Recursive continuous-time subspace identification using Laguerre filters
Author :
Bergamasco, Marco ; Lovera, Marco ; Ohta, Yoshito
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Vinci, Italy
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
6469
Lastpage :
6474
Abstract :
This paper deals with the problem of model identification in continuous-time using subspace techniques. More precisely, a recently presented continuous-time predictor-based subspace identification algorithm which relies on a system transformation using the Laguerre basis is considered and a recursive counterpart is developed.
Keywords :
continuous time systems; filtering theory; identification; stochastic processes; Laguerre filters; continuous-time predictor-based subspace identification algorithm; model identification; recursive continuous-time subspace identification; Eigenvalues and eigenfunctions; Estimation; Least squares approximation; Prediction algorithms; Signal to noise ratio; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6161311
Filename :
6161311
Link To Document :
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