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Explicit learning stochastic model predictive control with general ambiguity sets in homogeneous charge compression ignition applications2026 Control Engineering Practice article Engineering Advanced Control Systems Optimization Open access
Xu Chen, Julian Bedei, Jakob Andert, Lorenz Dörschel, Heike Vallery
0citations -
Machine-Learning Based Approximation of the Hierarchical Model Predictive Control of Multi-Use PV-Battery Systems in Non-Residential Buildings1citations
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Identifying and Analyzing Data Model Requirements and Technology Potentials of Machine Learning Systems in the Manufacturing Industry of the Future7citations
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Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model2022 Probabilistic Engineering Mechanics article Engineering Additive Manufacturing Materials and Processes Open access
Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken
20citations -
Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines : A Simulation Study2022 RWTH Publications (RWTH Aachen) preprint Engineering Advanced Control Systems Optimization Open access
Armin Norouzi, Saeid Shahpouri, Eugen Nuss, Dirk Abel, Jakob Andert, Mahdi Shahbakhti, +1 more
2citations -
Performance-based drift detection for active machine learning model adaption: A comparative analysis across 35 HVAC devices2025 Journal of Physics Conference Series conference-paper Engineering Building Energy and Comfort Optimization Open access
K Derzsi, Florian Stinner, L Patrun, Jonas Klingebiel, Dirk Müller
1citations -
A machine‐learning supported multi‐scale LBM‐TPM model of unsaturated, anisotropic, and deformable porous materials2023 International Journal for Numerical and Analytical Methods in Geomechanics article Engineering Soil and Unsaturated Flow Open access
Mohamad Chaaban, Yousef Heider, WaiChing Sun, Bernd A. Markert
21citations -
Applying Machine Learning to Automate Calibration for Model Predictive Control of Building Energy Systems2020 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Thomas Storek, Asad Esmailzadeh, Phlipp Mehrfeld, Markus Schumacher, Marc Baranski, Dirk Müller
3citations -
Process model design for positive displacement compressors and their experimental validation: Comparison of Optimal Experimental Design and Machine Learning2023 International Journal of Refrigeration article Engineering Refrigeration and Air Conditioning Technologies
Christian Vering, Julian Möntenich, Martin Rätz, Tim Klebig, Rita Streblow, Dirk Müller
4citations -
Explicit learning stochastic model predictive control with general ambiguity sets in homogeneous charge compression ignition applications2026 Control Engineering Practice article Engineering Advanced Control Systems Optimization Open access
Xu Chen, Julian Bedei, Jakob Andert, Lorenz Dörschel, Heike Vallery
0citations