Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models

Tzu-Yuan Huang, Armin Lederer, Nicolas Hoischen +4

Achieving global optimality in nonlinear model predictive control (NMPC) is challenging due to the non-convex nature of the underlying optimization problem. Since commonly employed…