关注
Jan C. Schulze
Jan C. Schulze
RWTH Aachen University, Aachener Verfahrenstechnik, Lehrstuhl für Systemverfahrenstechnik (AVT.SVT)
在 avt.rwth-aachen.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
402017
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
212022
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
192021
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
92022
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
92021
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
82021
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
32021
Representative electricity price profiles for European day-ahead and intraday spot markets
C Papadimitriou, JC Schulze, A Mitsos
arXiv preprint arXiv:2405.14403, 2024
2024
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, ...
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