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Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria
Stable port-Hamiltonian neural networks certify asymptotic stability by construction. Yet, their Hamiltonian is a global Lyapunov function with a single global minimum, so they can represent only dynamic systems with {one} attractor. We demonstrate that this excludes even simple systems with energy
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