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Papers matching “model learning” 883

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Machine-learning integrated multi-domain co-optimization for electrified heavy duty fleets
2025 eTransportation article Engineering Electric and Hybrid Vehicle Technologies Open access

Christoph Wellmann, Pekka Rahkola, Mikko H. Pihlatie, Abdul Rahman Khaleel, Christopher Marx, Akshay Sharma, +2 more

3

citations
Learning Deformable Linear Object Dynamics From a Single Trajectory
2025 IEEE Robotics and Automation Letters article Engineering Robot Manipulation and Learning Open access

Shamil Mamedov, A. René Geist, Sebastian Trimpe, Jan Swevers

6

citations
Optimized Pulse Patterns Design for Electrical Drives: A Reinforcement Learning Approach
2026 IEEE Open Journal of the Industrial Electronics Society article Engineering Electric Motor Design and Analysis Open access

Mohammad Abu-Ali, Felix Berkel, Maximilian Manderla, Markus Pietschner, Daniel Görges

0

citations
Improving the Performance of Robust Control through Event-Triggered Learning
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Engineering Control Systems and Identification Open access

Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

1

citations
The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated Driving
2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Engineering Control and Dynamics of Mobile Robots Open access

Henrik Hose, Jan Weisgerber, Sebastian Trimpe

3

citations
Recurrent Online and Transfer Learning of a CNC-Machining Center with Support Vector Machines
2021 IEEE International Symposium on Industrial Electronics (ISIE) conference-paper Engineering Control Systems and Identification

Muzaffer Ay, Max Schwenzer, Dirk Abell, Thomas Bergs

6

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
Lithium-ion battery anomaly detection with variational autoencoder based on feature representation learning
2026 Journal of Energy Storage article Engineering Advanced Battery Technologies Research Open access

Wenbin Li, Yue Yang, Stefan Pischinger

5

citations
Machine Learning-Based Dynamic Modeling of Ball Joint Friction for Real-Time Applications
2025 Lubricants article Engineering Vehicle Dynamics and Control Systems Open access

Kai Pfitzer, Lucas Rath, Sebastian Kolmeder, Burkhard J. Corves, Günther Prokop

5

citations
Machine learning enhanced optimisation of crash box design for crashworthiness analysis
2023 PAMM article Engineering Transportation Safety and Impact Analysis Open access

Aditya Borse, Rutwik Gulakala, Marcus Stoffel

8

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
Identifying the validity domain of machine learning models in building energy systems
2023 Energy and AI article Engineering Building Energy and Comfort Optimization Open access

Martin Rätz, Patrick Henkel, Phillip Stoffel, Rita Streblow, Dirk Müller

16

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
Gaussian process-transformer diffusion model for seabed plastic strain field prediction under tidal loading
2026 Marine Georesources and Geotechnology article Engineering Geotechnical Engineering and Soil Mechanics

Wencan Guan, Youliang Chen, Rafig Azzam

5

citations
Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation
2024 Journal of Intelligent Manufacturing article Engineering Digital Transformation in Industry Open access

Ruben Kins, Christian Möbitz, Thomas Gries

4

citations
A Framework for Applying Reinforcement Learning to Deadlock Handling in Intralogistics
2023 conference-paper Engineering Advanced Manufacturing and Logistics Optimization Open access

Marcel Müller, Lorena Silvana Reyes-Rubiano, Tobias Reggelin, Hartmut Zadek

1

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 Computers & Chemical Engineering article Engineering Control Systems and Identification Open access

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

5

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
Systematic framework for deep learning-based predictive injection control with Bayesian hyperparameter optimization for a hydrogen/diesel dual-fuel engine
2025 Control Engineering Practice article Engineering Advanced Control Systems Optimization Open access cited by 1 patent

Hossein Mehnatkesh, Alexander Winkler, Edward Sperling, Javad Kheyrollahi, Mahdi Shahbakhti, David C. Gordon, +1 more

15

citations
Parameter Filter-based Event-triggered Learning
2025 European Control Conference (ECC) conference-paper Engineering Control Systems and Identification Open access

Sebastian Schlor, Friedrich Solowjow, Sebastian Trimpe

0

citations