Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models

Itzik Klein, Guy Revach, Nir Shlezinger +3

Providing a metric of uncertainty alongside a state estimate is often crucial when tracking a dynamical system. Classic state estimators, such as the Kalman filter (KF), provide a…