Port-Hamiltonian Koopman Operator Synthesis for Mechanical Systems
This work presents a structure-preserving Koopman framework for Euler-Lagrange systems built on generalized-momentum coordinates, and demonstrates improved prediction accuracy, data efficiency, and closed-loop tracking over Koopman baselines, with increasing gains for higher-dimensional systems.