State Estimation of Partially Unknown Dynamical Systems with a Deep Kalman Filter
摘要
In this paper we present a novel scientific machine learning reinterpretation of the well-known Kalman Filter, we explain its flexibility in dealing with partially-unknown models and show its effectiveness in a couple of situations where the classic Kalman Filter is problematic.