3 citations · 4 across the 4 of their papers we have counts for
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eess.SY2017
Tensor network subspace identification of polynomial state space models
Kim Batselier, Ching Yun Ko, Ngai Wong
This article introduces a tensor network subspace algorithm for the identification of specific polynomial state space models. The polynomial nonlinearity in the state space model i…
eess.SY2017
Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification
Kim Batselier, Ngai Wong
This article extends the tensor network Kalman filter to matrix outputs with an application in recursive identification of discrete-time nonlinear multiple-input-multiple-output (M…
math.NA2017★ 3 cited
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD
Kim Batselier, Wenjian Yu, Luca Daniel +1
We propose a new algorithm for the computation of a singular value decomposition (SVD) low-rank approximation of a matrix in the Matrix Product Operator (MPO) format, also called t…