This project explores the application of the Koopman Operator to system dynamics for the application within model predictive control of hydrogen-enhanced diesel engines. Investigating different implementation options and leveraging data-driven machine learning approaches, the aim is to reduce computational effort while enabling system-theoretic analysis of the dynamic system representation. The topic aligns closely with the […]