Hamiltonian-based neural networks for systems under nonholonomic constraints

Ignacio Puiggros T., A. Srikantha Phani

There has been increasing interest in methodologies that incorporate physics priors into neural network architectures to enhance their modeling capabilities. A family of these meth…