BriefGPT.xyz
Sep, 2019
Symplectic ODE-Net：学习带控制的哈密顿动力学
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
HTML
PDF
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
TL;DR
Symplectic ODE-Net是一个深度学习框架，使用Hamilton动力学对物理系统的动态进行建模，提供物理上一致的可解释的模型以及针对基于模型的控制策略的新可能性。
Abstract
In this paper, we introduce
symplectic ode-net
(SymODEN), a
deep learning
framework which can infer the dynamics of a physical system from observed state trajectories. To achieve better generalization with fewer
→