A Hamiltonian neural network with three parallel networks can recover the Hamiltonian, constraint matrix, and Lagrange multipliers of nonholonomically constrained systems from clean or noisy phase-space data.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.class-ph 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Hamiltonian-based neural networks for systems under nonholonomic constraints
A Hamiltonian neural network with three parallel networks can recover the Hamiltonian, constraint matrix, and Lagrange multipliers of nonholonomically constrained systems from clean or noisy phase-space data.