Pages that link to "Item:Q1626922"

The following pages link to Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification (Q1626922):

Displaying 6 items.

• Tensor network subspace identification of polynomial state space models (Q1626879) (← links)
• A tensor network Kalman filter with an application in recursive MIMO Volterra system identification (Q1680889) (← links)
• Tensor network alternating linear scheme for MIMO Volterra system identification (Q1680890) (← links)
• Maximum likelihood iterative identification approaches for multivariable equation-error moving average systems (Q5026619) (← links)
• Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← links)
• Kernel‐based regularization least squares algorithm for nonlinear time‐delayed systems using self‐organizing maps (Q6190424) (← links)