Accelerating nonlinear model predictive control through machine learning

Journal of Process Control, vol. 92, pp. 261–270

Authors 6

1. Yannic Vaupel Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, AVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstraße 51, D - 52074 Aachen, Germany

2. Nils C. Hamacher Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, AVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstraße 51, D - 52074 Aachen, Germany

3. Adrian Caspari Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, AVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstraße 51, D - 52074 Aachen, Germany

4. Adel Mhamdi Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, AVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstraße 51, D - 52074 Aachen, Germany

5. Ioannis G. Kevrekidis

   Johns Hopkins University

   Affiliation as printed

   Johns Hopkins University, Department of Chemical and Biomolecular Engineering, Baltimore, MD, United States of America

6. Alexander Mitsos corresponding Aachen

   Forschungszentrum Jülich · Jülich Aachen Research Alliance · RWTH Aachen University

   Affiliation as printed

   Institute of Energy and Climate Research - Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52425, Jülich Germany

   JARA - Center for Simulation and Data Science, Germany

   RWTH Aachen University, AVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstraße 51, D - 52074 Aachen, Germany