Sep 26, 2017 · Abstract:This article introduces a tensor network subspace algorithm for the identification of specific polynomial state space models.

This article introduces a tensor network subspace algorithm for the identification of specific polynomial state space models.

This article introduces a tensor network subspace algorithm for the identification of specific polynomial state space models. The polynomial nonlinearity in ...

Sep 27, 2017 · This article introduces a tensor network subspace algorithm for the identification of specific polynomial state space models. The polynomial.

Semantic Scholar extracted view of "Tensor network subspace identification of polynomial state space models" by Kim Batselier et al.

Simulates the polynomial state space system as specified by the A,B,C,D matrices, the initial state x0, the input vectors u and the degree d of the polynomials.

Batselier K., Ko C.-Y., Wong N., Tensor network subspace identification of polynomial state space models, Automatica, vol. 95, 2018, ...

Tensor network subspace identification of polynomial state space models. K Batselier, CY Ko, N Wong. Automatica 95, 187-196, 2018. 24, 2018. Matrix output ...

This article introduces a tensor network subspace algorithm for the identification of specific polynomial state space models. The polynomial nonlinearity in ...

Tensor Network MOESP. The Tensor network MOESP algorithm estimates polynomial state space models from measured input-output data. The state space models that ...