Can I read Symplectic ODE-Net for Hamiltonian Dynamics on EtoBox?
Symplectic ODE-Net for Hamiltonian Dynamics by Charlie is a document available to read on EtoBox.
What is Symplectic ODE-Net for Hamiltonian Dynamics about?
The paper presents Symplectic ODE-Net (SymODEN), a deep learning framework designed to infer the dynamics of physical systems through ordinary differential equations (ODEs) using observed state trajectories. It incorporates Hamiltonian dynamics with control, allowing for better generalization with fewer training samples and providing insights into physical properties like mass and potential energy. This framework enables the synthesis of model-based control strategies, enhancing the performance of complex n
- Author
- Charlie
- Language
- EN