From Well-Posed Inversion to Learning Design: Physics- Informed Neural Estimation for Autonomic Regulation

Sara Nour Sadoun, Giuseppe Alessio D'Inverno, Francois Cottin +2

Learning-based and physics-informed methods are increasingly used for inverse estimation in controlled nonlinear dynamical systems. However, in many such approaches, the theoretic…