| Quantification of the influence of parameters determining radiative heat transfer in an oxy-fuel operated boiler T Gronarz, J Schulze, M Laemmerhold, P Graeser, J Gorewoda, V Kez, ... Fuel Processing Technology 157, 76-89, 2017 | 40 | 2017 |
| Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning JC Schulze, DT Doncevic, A Mitsos Computers & Chemical Engineering 161, 107781, 2022 | 19 | 2022 |
| Nonlinear model predictive control of ultra-high-purity air separation units using transient wave propagation model JC Schulze, A Caspari, C Offermanns, A Mhamdi, A Mitsos Computers & chemical engineering 145, 107163, 2021 | 19 | 2021 |
| Data-driven nonlinear model reduction using Koopman theory: Integrated control form and NMPC case study JC Schulze, A Mitsos IEEE control systems letters 6, 2978-2983, 2022 | 9 | 2022 |
| Nonlinear model predictive control of organic Rankine cycles for automotive waste heat recovery: Is it worth the effort? Y Vaupel, JC Schulze, A Mhamdi, A Mitsos Journal of process control 99, 19-27, 2021 | 9 | 2021 |
| Energieflexibel in die Zukunft-Wie Fabriken zum Gelingen der Energiewende beitragen können A Bachmann, L Bank, C Bark, D Bauer, BB Blöchl, M Brugger, HU Buhl, ... VDI Verlag, 2021 | 8 | 2021 |
| Adaptive learning of hybrid models for nonlinear model predictive control of distillation columns JT Lüthje, JC Schulze, A Caspari, A Mhamdi, A Mitsos, P Schäfer IFAC-PapersOnLine 54 (3), 37-42, 2021 | 3 | 2021 |
| Offset-free model predictive control using Koopman-Wiener models K Tiiro K. Tiiro, 2023 | | 2023 |
| Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory JC Schulze, DT Doncevic, N Erwes, A Mitsos arXiv preprint arXiv:2309.05386, 2023 | | 2023 |
| Parameter estimation and dynamic optimization of an industrial fed-batch reactor JG Rittig, JC Schulze, L Henrichfreise, S Recker, R Feller, A Mitsos, ... Computer Aided Chemical Engineering 52, 1175-1180, 2023 | | 2023 |
| Adaptive Learning of Hybrid Models for Nonlinear Model Predictive Control of Distillation Columns AMAMP Schäfer, JT Lüthje, JC Schulze, A Caspari, A Mhamdi, A Mitsos, ... | | 2021 |
| Nonlinear Model Predictive Control of Air Separation Processes Based on Model Reduction J Schulze, A Caspari, P Schäfer, AM Ecker, M Pottmann, A Mhamdi, ... 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Energieflexibel in die Zukunft--Wie Fabriken zum Gelingen der Energiewende beitragen können: VDI-Handlungsempfehlung A Bachmann, L Bank, C Bark, D Bauer, B Blöchl, M Brugger, HU Buhl, ... | | |
