A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification

Automatica ◽

10.1016/j.automatica.2017.06.019 ◽

2017 ◽

Vol 84 ◽

pp. 17-25 ◽

Cited By ~ 11

Author(s):

Kim Batselier ◽

Zhongming Chen ◽

Ngai Wong

Keyword(s):

Kalman Filter ◽

System Identification ◽

Volterra System ◽

Tensor Network

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Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification

Automatica ◽

10.1016/j.automatica.2018.06.015 ◽

2018 ◽

Vol 95 ◽

pp. 413-418 ◽

Cited By ~ 5

Author(s):

Kim Batselier ◽

Ngai Wong

Keyword(s):

Kalman Filter ◽

System Identification ◽

Volterra System ◽

Tensor Network

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Tensor Network alternating linear scheme for MIMO Volterra system identification

Automatica ◽

10.1016/j.automatica.2017.06.033 ◽

2017 ◽

Vol 84 ◽

pp. 26-35 ◽

Cited By ~ 20

Author(s):

Kim Batselier ◽

Zhongming Chen ◽

Ngai Wong

Keyword(s):

System Identification ◽

Volterra System ◽

Tensor Network ◽

Linear Scheme

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Improved-Variable-Forgetting-Factor Recursive Algorithm Based on the Logarithmic Cost for Volterra System Identification

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2016.2531159 ◽

2016 ◽

Vol 63 (6) ◽

pp. 588-592 ◽

Cited By ~ 30

Author(s):

Lu Lu ◽

Haiquan Zhao ◽

Badong Chen

Keyword(s):

System Identification ◽

Recursive Algorithm ◽

Forgetting Factor ◽

Volterra System ◽

Variable Forgetting Factor

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Efficient algorithms for Volterra system identification

IEEE Transactions on Signal Processing ◽

10.1109/78.796438 ◽

1999 ◽

Vol 47 (11) ◽

pp. 3042-3057 ◽

Cited By ~ 65

Author(s):

G.-O.A. Glentis ◽

P. Koukoulas ◽

N. Kalouptsidis

Keyword(s):

System Identification ◽

Efficient Algorithms ◽

Volterra System

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Several recursive techniques for observer/Kalman filter system identification from data

10.2514/6.1992-4386 ◽

1992 ◽

Cited By ~ 3

Author(s):

CHUNG-WEN CHEN ◽

GORDON LEE ◽

JER-NAN JUANG

Keyword(s):

Kalman Filter ◽

System Identification ◽

Filter System ◽

Recursive Techniques

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An adaptive evolutionary algorithm for Volterra system identification

Pattern Recognition Letters ◽

10.1016/j.patrec.2004.08.020 ◽

2005 ◽

Vol 26 (1) ◽

pp. 109-119 ◽

Cited By ~ 7

Author(s):

Hazem M. Abbas ◽

Mohamed M. Bayoumi

Keyword(s):

System Identification ◽

Evolutionary Algorithm ◽

Volterra System

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Second-order adaptive Volterra system identification based on discrete nonlinear Wiener model

IEE Proceedings - Vision Image and Signal Processing ◽

10.1049/ip-vis:20010137 ◽

2001 ◽

Vol 148 (1) ◽

pp. 21 ◽

Cited By ~ 10

Author(s):

T. Ogunfunmi ◽

S.L. Chang

Keyword(s):

System Identification ◽

Second Order ◽

Wiener Model ◽

Volterra System

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Application of the Extended Kalman Filter—WGI Method in Dynamic System Identification

Stochastic Structural Dynamics ◽

10.1201/9781003076582-7 ◽

2020 ◽

pp. 103-124

Author(s):

Masaru Hoshiya

Keyword(s):

Kalman Filter ◽

System Identification ◽

Dynamic System ◽

Extended Kalman Filter

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Second-Order Volterra System Identification With Noisy Input–Output Measurements

IEEE Signal Processing Letters ◽

10.1109/lsp.2008.2008478 ◽

2009 ◽

Vol 16 (1) ◽

pp. 18-21 ◽

Cited By ~ 7

Author(s):

U. Ozertem ◽

D. Erdogmus

Keyword(s):

System Identification ◽

Second Order ◽

Input Output ◽

Volterra System ◽

Noisy Input

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Extended Kalman Filter and System Identification

Kalman Filtering ◽

10.1007/978-3-319-47612-4_8 ◽

2017 ◽

pp. 115-137

Author(s):

Charles K. Chui ◽

Guanrong Chen

Keyword(s):

Kalman Filter ◽

System Identification ◽

Extended Kalman Filter

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