End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control

Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen

(Economic) nonlinear model predictive control ((e)NMPC) requires dynamic models that are sufficiently accurate and computationally tractable. Data-driven surrogate models for mecha…