Pages that link to "Item:Q1680889"

The following pages link to A tensor network Kalman filter with an application in recursive MIMO Volterra system identification (Q1680889):

Displaying 9 items.

• Tensor network subspace identification of polynomial state space models (Q1626879) (← links)
• Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification (Q1626922) (← links)
• Tensor network alternating linear scheme for MIMO Volterra system identification (Q1680890) (← links)
• Nonlinear system identification for multivariable control via discrete-time Chen-Fliess series (Q2207213) (← links)
• Nonlinear system identification with regularized tensor network B-splines (Q2208614) (← links)
• Noniterative tensor network‐based algorithm for Volterra system identification (Q6063766) (← links)
• State estimation in nonlinear parametric time dependent systems using tensor train (Q6071444) (← links)
• An efficient recursive identification algorithm for multilinear systems based on tensor decomposition (Q6092365) (← links)
• A new adaptive identification framework for nonlinear multi-input multi-output systems under colored noise (Q6135577) (← links)