2 papers
eess.SY2025
A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers
Konstantinos Platanitis, Miguel Arana-Catania, Saurabh Upadhyay +1
This paper discusses an approach to inertial parameter estimation for the case of cargo carrying spacecraft that is based on causal learning, i.e. learning from the responses of th…
astro-ph.IM2024
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…