Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-53547-0_2 ◽

2017 ◽

pp. 16-25 ◽

Cited By ~ 3

Author(s):

Philippe Dreesen ◽

David T. Westwick ◽

Johan Schoukens ◽

Mariya Ishteva

Keyword(s):

Tensor Decomposition ◽

Volterra Kernels ◽

Hammerstein Systems

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Wiener-Hammerstein systems modeling using diagonal Volterra kernels coefficients

IEEE Signal Processing Letters ◽

10.1109/lsp.2006.871705 ◽

2006 ◽

Vol 13 (6) ◽

pp. 381-384 ◽

Cited By ~ 54

Author(s):

A.Y. Kibangou ◽

G. Favier

Keyword(s):

Systems Modeling ◽

Volterra Kernels ◽

Hammerstein Systems

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Dimensionality Reduction of Volterra Kernels by Tensor Decomposition using Higher-Order SVD

2020 59th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc42340.2020.9303951 ◽

2020 ◽

Author(s):

Urszula Libal ◽

John S. Baras ◽

Karl H. Johansson

Keyword(s):

Dimensionality Reduction ◽

Tensor Decomposition ◽

Higher Order ◽

Volterra Kernels

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Research on Travel Time Estimation Based on Tensor Decomposition

CICTP 2020 ◽

10.1061/9780784483053.021 ◽

2020 ◽

Author(s):

Ziyang Zhang ◽

Chengsheng Liu

Keyword(s):

Travel Time ◽

Time Estimation ◽

Tensor Decomposition ◽

Travel Time Estimation

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An Improved Tensor Decomposition Model for Recommendation System

10.23940/ijpe.18.09.p20.21162126 ◽

2018 ◽

Author(s):

Wenqian Shang

Keyword(s):

Recommendation System ◽

Tensor Decomposition ◽

Decomposition Model

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Nonlinear Predictive Control of Constrained Hammerstein Systems and Its Research on Simulation of Polypropylene Grade Transition

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2009.01558 ◽

2010 ◽

Vol 35 (12) ◽

pp. 1558-1563 ◽

Cited By ~ 5

Author(s):

De-Feng HE ◽

Li YU

Keyword(s):

Predictive Control ◽

Hammerstein Systems ◽

Grade Transition ◽

Nonlinear Predictive Control

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Nonparametric Specification Testing for Hammerstein Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.12.159 ◽

2015 ◽

Vol 48 (28) ◽

pp. 392-397 ◽

Cited By ~ 2

Author(s):

Miros law Pawlak ◽

Jiaqing Lv

Keyword(s):

Specification Testing ◽

Hammerstein Systems

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Higher order tensor decomposition for proportional myoelectric control based on muscle synergies

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.102523 ◽

2021 ◽

Vol 67 ◽

pp. 102523

Author(s):

Ahmed Ebied ◽

Eli Kinney-Lang ◽

Javier Escudero

Keyword(s):

Tensor Decomposition ◽

Higher Order ◽

Myoelectric Control ◽

Muscle Synergies ◽

Order Tensor

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A Hierarchical MPC Scheme for Ensembles of Hammerstein Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.410 ◽

2020 ◽

Vol 53 (2) ◽

pp. 6951-6956

Author(s):

Felix Petzke ◽

Marcello Farina ◽

Stefan Streif

Keyword(s):

Hammerstein Systems

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Background Subtraction Based on Online Tensor Decomposition

2020 15th IEEE International Conference on Signal Processing (ICSP) ◽

10.1109/icsp48669.2020.9320931 ◽

2020 ◽

Author(s):

Guang Han ◽

Guanghao Zhang ◽

Xi Cai

Keyword(s):

Background Subtraction ◽

Tensor Decomposition

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Symmetric tensor decomposition by alternating gradient descent

Numerical Linear Algebra with Applications ◽

10.1002/nla.2406 ◽

2021 ◽

Author(s):

Haixia Liu

Keyword(s):

Gradient Descent ◽

Tensor Decomposition ◽

Symmetric Tensor

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