Spacecraft inertial parameters estimation using time series clustering and reinforcement learning

Konstantinos Platanitis, Miguel Arana-Catania, Leonardo Capicchiano +2

This paper presents a machine learning approach to estimate the inertial parameters of a spacecraft in cases when those change during operations, e.g. multiple deployments of paylo…