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Papers matching “model learning” 103

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Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes
2026 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Tai Xuan Tan, Alexander Mitsos, Eike Cramer

0

citations
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines
2022 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, Alexander Winkler, Eugen Nuss

0

citations
Creating a Real-Time Capable Surrogate Model of a Wind Turbine Using Machine Learning
2024 preprint Engineering Wind Energy Research and Development Open access

Stefan Witter, Ralf Schelenz, Georg Jacobs

0

citations
Benchmarking five physics-guided machine learning approaches for model predictive control in building energy systems
2026 SSRN Electronic Journal preprint Engineering Building Energy and Comfort Optimization Open access

Patrick Henkel, Martin Rätz, Dirk Müller

0

citations
Deep Learning based Model Predictive Control for Compression Ignition Engines
2022 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, Alexander Winkler, Eugen Nuss, Dirk Abel, Jakob Andert, +2 more

3

citations
Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Julian Bedei, Alexander Winkler, Murray McBain, Charles Robert Koch, David C. Gordon

2

citations
Real-Life Data-Driven Model Predictive Control for Building Energy Systems Comparing Different Machine Learning Models
2023 SSRN Electronic Journal preprint Engineering Building Energy and Comfort Optimization Open access

Phillip Stoffel, Max Berktold, Dirk Müller

3

citations
Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines : A Simulation Study
2022 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

2

citations
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
2024 arXiv (Cornell University) preprint Engineering Elasticity and Material Modeling Open access

Hagen Holthusen, Tim Brepols, Kevin Linka, Ellen Kuhl

0

citations
Implementation of a Machine Learning Supported Model Predicted Control for a 5th Generation District Heating and Cooling Energy Hub
2024 SSRN Electronic Journal preprint Engineering Integrated Energy Systems Optimization Open access

Kai Droste, Aron Schwartz, Thomas Schreiber

1

citations
Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation
2024 arXiv (Cornell University) preprint Engineering Advanced machining processes and optimization Open access

Zongshuo Li, Markus Meurer, Thomas Bergs

0

citations
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
2022 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Emre Neftci

2

citations
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
2026 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Tara Esterl, Yuchen Tao, +4 more

0

citations
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
2026 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Fabian Leimgruber, Tara Esterl, +5 more

0

citations
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
2023 RWTH Publications (RWTH Aachen) preprint Engineering Control Systems and Identification Open access

Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Sebastian Trimpe

1

citations
A new CPT virtual calibration chamber in sand based on Machine learning algorithms
2024 preprint Engineering Geotechnical Engineering and Soil Mechanics Open access

Mingpeng Liu, Enci Sun, Ningning Zhang, Fengwen Lai, Raúl Fuentes

1

citations
Deep learning for size-agnostic inverse design of random-network 3D printed mechanical metamaterials
2022 arXiv (Cornell University) preprint Engineering Cellular and Composite Structures Open access

H. Pahlavani, Kostas Tsifoutis‐Kazolis, Prerak Mody, Jie Zhou, Mohammad Javad Mirzaali, AMIR ABBAS ZADPOOR

2

citations
Towards hybrid and explainable data-driven models for forming processes: addressing the gap between simulation, process data, and model validation
2026 Research Square preprint Engineering Metal Forming Simulation Techniques Open access

Daria Gelbich, Markus Schumann, Jonas Moske, Philipp Niemietz, Pascal Heinzelmann, Jonas Knoche, +16 more

0

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part I: Conceptual Framework and Equation Generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

1

citations
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning - Part I: Conceptual framework and equation generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

0

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part I: Conceptual Framework and Equation Generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

0

citations
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
2023 arXiv (Cornell University) preprint Engineering Astronomical Observations and Instrumentation Open access

Daniela Huppenkothen, Michelle Ntampaka, Matthew Ho, M. Fouesneau, B. Nord, Joshua E. G. Peek, +15 more

2

citations
Electric Machine Co-Optimization: System Design Process Using Bayesian Optimization and Nonlinear Model Predictive Control
2024 SSRN Electronic Journal preprint Engineering Electric and Hybrid Vehicle Technologies Open access

Christoph Wellmann, Abdul Rahman Khaleel, Tobias Brinkmann, Alexander Wahl, Christian Monissen, Markus Eisenbarth, +1 more

0

citations
End-to-End Reinforcement Learning of Koopman Models for eNMPC of an Air Separation Unit
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Daniel Mayfrank, Kayra Dernek, Laura Lang, Alexander Mitsos, Manuel Dahmen

0

citations
On-Chip Learning via Transformer In-Context Learning
2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Jan Finkbeiner, Emre Neftci

0

citations