DocumentCode :
2162171
Title :
Independent component analysis for nonminimum phase systems using stable dynamic model inversion
Author :
Fukunaga, Shuichi ; Fujimoto, Kenji
Author_Institution :
Dept. of Mech. Sci. & Eng., Nagoya Univ., Nagoya, Japan
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
922
Lastpage :
926
Abstract :
This paper proposes an independent component analysis method using stable dynamic model inversion for nonminimum phase systems. First, a stable inverse filter is constructed based on a Kalman filter in order to estimate the input sequence of the given plant. Second, the learning algorithm is derived by minimizing the Kullback-Leibler divergence. Furthermore, a numerical simulation demonstrates the effectiveness of the proposed method.
Keywords :
Kalman filters; independent component analysis; learning (artificial intelligence); minimisation; Kalman filter; Kullback-Leibler divergence minimization; independent component analysis; input sequence estimation; learning algorithm; nonminimum phase systems; stable dynamic model inversion; stable inverse filter; Cost function; Equations; Independent component analysis; Kalman filters; Mathematical model; Numerical models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2007 European
Conference_Location :
Kos
Print_ISBN :
978-3-9524173-8-6
Type :
conf
Filename :
7068597
Link To Document :
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