Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs
An adaptive stability-constrained neural differential equation (AS-NDE) for systems with measured controls and unmatched, unknown perturbations and a reproducible evaluation protocol for a forced Duffing oscillator and a permanent-magnet synchronous motor model is given.