Learning and Control of Hamiltonian System Dynamics
Learning and Control of Hamiltonian System Dynamics We previously developed a port-Hamiltonian dynamics model, which was trained as a neural ordinary differential equation (ODE) neural network and subsequently used for energy-shaping control to achieve stabilization and tracking. Recently we have extended our method in two major directions. In work published at ICRA 2024 (Altawaitan et […]