Continuous Learning of Gravity Field Irregularities Around Small Bodies via Neural Hamiltonian ODEs
We propose to learn the unknown dynamics in the proximity of a small body directly from tracking data, representing them as a feed-forward neural network embedded in the system Hamiltonian. The equations of motion form a Neural Hamiltonian Ordinary Differential Equation, whose variational equations provide exact traini...