Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees
arXiv:2602.08640v4 Announce Type: replace-cross Abstract: Universal approximation theorems establish the expressive capacity of neural network architectures. For dynamical systems, existing results are limited to finite time horizons or systems with a globally stable equilibrium, leaving…