Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning
S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S.L. Brunton, K. Taira, Physica D: Nonlinear Phenomena 461 (2024) 134096.

Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives
L. Hölsch, A. Brosch, R. Steckel, T. Braun, S. Wendel, J. Böcker, O. Wallscheid, IEEE Transactions on Energy Conversion (2024) 1–12.

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints
A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2023) 1–14.

Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors
A. Brosch, F. Tinazzi, O. Wallscheid, M. Zigliotto, J. Böcker, IEEE Transactions on Power Electronics (2023).

ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids
O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda, O. Schweins, Journal of Open Source Software 8 (2023).

Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays
F. Winkel, O. Wallscheid, P. Scholz, J. Böcker, IEEE Open Journal of the Industrial Electronics Society (2023) 1–14.

Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control
M. Pena, M. Meyer, O. Wallscheid, J. Böcker, in: 2023 IEEE International Electric Machines and Drives Conference (IEMDC), IEEE, 2023.

Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor
M. Schenke, B. Haucke-Korber, O. Wallscheid, IEEE Transactions on Power Electronics (2023) 1–16.

Deep Q Direct Torque Control with a Reduced Control Set Towards Six-Step Operation of Permanent Magnet Synchronous Motors
B. Haucke-Korber, M. Schenke, O. Wallscheid, in: 2023 IEEE International Electric Machines &;amp; Drives Conference (IEMDC), IEEE, 2023.

Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives
F. Book, A. Traue, M. Schenke, B. Haucke-Korber, O. Wallscheid, in: 2023 IEEE International Electric Machines &;amp; Drives Conference (IEMDC), IEEE, 2023.

Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines
M. Pena, M. Meyer, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 38 (2023) 12416–12429.

Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control
E.G. Gedlu, O. Wallscheid, J. Böcker, O. Nelles, in: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), IEEE, 2023.

Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time
F. Winkel, P. Scholz, O. Wallscheid, J. Böcker, IEEE Transactions on Automation Science and Engineering (2023) 1–11.

An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors
N. Förster, P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, in: Proc. 37th IEEE Applied Power Electronics Conference (APEC), IEEE, Houston, TX, USA, n.d.

Model Predictive Torque Control for Permanent Magnet Synchronous Motors Using a Stator-Fixed Harmonic Flux Reference Generator in the Entire Modulation Range
A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2022).

Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control
A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2022).

Experimental Comparison of FPGA-Implemented Model Predictive Voltage Control to Cascaded Proportional Resonant Control for a Three-Phase Four-Wire Three-Level Grid-Forming Inverter of 250 kVA
J. Lange, D. Schmies, K.S.C. Stille, J. Böcker, O. Wallscheid, in: EPE’22 ECCE Europe, IEEE, Hannover, 2022.

Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions
M. Stender, M. Becker, O. Wallscheid, J. Böcker, in: 48th Annual Conference of the Industrial Electronics Society (IECON), 2022.

An Open-Source Transistor Database and Toolbox as a Unified Software Engineering Tool for Managing and Evaluating Power Transistors
N. Förster, P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, in: 2022 IEEE Applied Power Electronics Conference and Exposition (APEC), IEEE, 2022.

An Open-Source FEM Magnetics Toolbox for Power Electronic Magnetic Components
N. Förster, T. Piepenbrock, P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, in: PCIM Europe 2022; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 2022, pp. 1–10.

Reinforcement Learning-Based Deep Q Direct Torque Control with Adaptable Switching Frequency Towards Six-Step Operation of Permanent Magnet Synchronous Motors
B. Haucke-Korber, M. Schenke, O. Wallscheid, in: IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.

Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning
W. Kirchgässner, O. Wallscheid, J. Böcker, Engineering Applications of Artificial Intelligence 117 (2022).

Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), IEEE, 2022.

LLC Resonant Converter Modulations for Reduced Junction Temperatures in Half-Bridge Mode and Transformer Flux in the On-the-Fly Morphing Thereto
P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, IEEE Transactions on Power Electronics 37 (2022) 13413–13427.

Application of Thermal Neural Networks on a Small-Scale Electric Motor
W. Kirchgässner, D. Wöckinger, O. Wallscheid, G. Bramerdorfer, J. Böcker, in: IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.

Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems
A. Brosch, J. Rauhaus, O. Wallscheid, J. Böcker, D. Zimmer, IEEE Open Journal of Industry Applications (2022).

An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components
N. Förster, J. Hölscher, T. Piepenbrock, P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, in: 2022 24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe), 2022, p. P.1-P.9.

Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation
A. Brosch, O. Wallscheid, J. Böcker, IEEE Open Journal of Industry Applications 2 (2021) 47–63.

Temperature estimation of electric machines using a hybrid model of feed-forward neural and low-order lumped-parameter thermal networks
E.G. Gedlu, O. Wallscheid, J. Böcker, in: 2021 IEEE International Electric Machines &; Drives Conference (IEMDC), 2021, pp. 1–8.

Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments
G. Book, A. Traue, P. Balakrishna, A. Brosch, M. Schenke, S. Hanke, W. Kirchgässner, O. Wallscheid, IEEE Open Journal of Power Electronics (2021) 187–201.

Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments
D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE Access 9 (2021) 35654–35669.

Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer
M. Stender, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 36 (2021) 13261–13274.

Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach
M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021.

Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor
M. Stender, O. Wallscheid, J. Böcker, in: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2021.

Gray-Box Loss Model for Induction Motor Drives
M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021.

Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor
S. Hanke, O. Wallscheid, J. Böcker, in: IET Digital Library, 2021.

Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges
O. Wallscheid, IEEE Open Journal of Industry Applications (2021).

Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.

gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, O. Wallscheid, Journal of Open Source Software (2021).

A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors
M. Schenke, O. Wallscheid, IEEE Open Journal of the Industrial Electronics Society (2021) 388–400.

Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).

Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors
A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Informatics (2021).

Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2103.16323 (2021).

Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control
A. Traue, G. Book, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Neural Networks and Learning Systems (2020) 1–10.

Estimating Electric Motor Temperatures with Deep Residual Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 36 (2020) 7480–7488.

Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors
A. Brosch, S. Hanke, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2020) 2179–2190.

Emulation of Microgrids for Research and Validation of Control and Operation Strategies
K.S.C. Stille, D. Weber, J. Lange, T. Vogt, O. Wallscheid, J. Böcker, in: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2020.

Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives
M. Stender, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Electronics 68 (2020) 8646–8656.

Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers
M. Stender, O. Wallscheid, J. Böcker, in: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2020.

OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control
S. Heid, D. Weber, H. Bode, E. Hüllermeier, O. Wallscheid, Journal of Open Source Software 5 (2020) 2435.