@article{65253, author = {{Abdelwanis, Ali Hassan Ali and Haucke-Korber, Barnabas and Jakobeit, Darius and Kirchgässner, Wilhelm and Meyer, Marvin and Schenke, Maximilian and Vater, Hendrik and Wallscheid, Oliver and Weber, Daniel}}, issn = {{2577-3569}}, journal = {{Journal of Open Source Education}}, number = {{97}}, publisher = {{The Open Journal}}, title = {{{Reinforcement Learning: A Comprehensive Open-Source Course}}}, doi = {{10.21105/jose.00306}}, volume = {{9}}, year = {{2026}}, } @inproceedings{60746, author = {{Jakobeit, Darius and Peña López, Mario and Schenke, Maximilian and Haucke-Korber, Barnabas and Wallscheid, Oliver}}, booktitle = {{2025 IEEE International Electric Machines & Drives Conference (IEMDC)}}, publisher = {{IEEE}}, title = {{{Structural Optimization of Meta-Reinforcement Learning-based Finite-Control-Set Direct Torque Control of Permanent Magnet Synchronous Motors}}}, doi = {{10.1109/iemdc60492.2025.11061179}}, year = {{2025}}, } @inproceedings{60745, author = {{Haucke-Korber, Barnabas and Aung, Nyi Nyi and Schenke, Maximilian and Peña López, Mario and Jakobeit, Darius and Wallscheid, Oliver}}, booktitle = {{2025 IEEE International Electric Machines & Drives Conference (IEMDC)}}, publisher = {{IEEE}}, title = {{{Reinforcement Learning-based Direct Torque Control of Externally Excited Synchronous Motors: a Proof of Concept}}}, doi = {{10.1109/iemdc60492.2025.11061093}}, year = {{2025}}, } @inproceedings{60744, author = {{Peña López, Mario and Schenke, Maximilian and Jakobeit, Darius and Haucke-Korber, Barnabas and Wallscheid, Oliver}}, booktitle = {{2025 IEEE International Electric Machines & Drives Conference (IEMDC)}}, publisher = {{IEEE}}, title = {{{Reinforcement Learning Control of Three-Level Converter Permanent Magnet Synchronous Machine Drives}}}, doi = {{10.1109/iemdc60492.2025.11061032}}, year = {{2025}}, } @article{40171, abstract = {{We present a convolutional framework which significantly reduces the complexity and thus, the computational effort for distributed reinforcement learning control of dynamical systems governed by partial differential equations (PDEs). Exploiting translational equivariances, the high-dimensional distributed control problem can be transformed into a multi-agent control problem with many identical, uncoupled agents. Furthermore, using the fact that information is transported with finite velocity in many cases, the dimension of the agents’ environment can be drastically reduced using a convolution operation over the state space of the PDE, by which we effectively tackle the curse of dimensionality otherwise present in deep reinforcement learning. In this setting, the complexity can be flexibly adjusted via the kernel width or by using a stride greater than one (meaning that we do not place an actuator at each sensor location). Moreover, scaling from smaller to larger domains – or the transfer between different domains – becomes a straightforward task requiring little effort. We demonstrate the performance of the proposed framework using several PDE examples with increasing complexity, where stabilization is achieved by training a low-dimensional deep deterministic policy gradient agent using minimal computing resources.}}, author = {{Peitz, Sebastian and Stenner, Jan and Chidananda, Vikas and Wallscheid, Oliver and Brunton, Steven L. and Taira, Kunihiko}}, journal = {{Physica D: Nonlinear Phenomena}}, pages = {{134096}}, publisher = {{Elsevier}}, title = {{{Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning}}}, doi = {{10.1016/j.physd.2024.134096}}, volume = {{461}}, year = {{2024}}, } @article{53309, author = {{Hölsch, Lukas and Brosch, Anian and Steckel, Richard and Braun, Tristan and Wendel, Sebastian and Böcker, Joachim and Wallscheid, Oliver}}, issn = {{0885-8969}}, journal = {{IEEE Transactions on Energy Conversion}}, keywords = {{Electrical and Electronic Engineering, Energy Engineering and Power Technology}}, pages = {{1--12}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives}}}, doi = {{10.1109/tec.2024.3374962}}, year = {{2024}}, } @article{48059, author = {{Winkel, Fabian and Wallscheid, Oliver and Scholz, Peter and Böcker, Joachim}}, issn = {{2644-1284}}, journal = {{IEEE Open Journal of the Industrial Electronics Society}}, keywords = {{Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Control and Systems Engineering}}, pages = {{1--14}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays}}}, doi = {{10.1109/ojies.2023.3323870}}, year = {{2023}}, } @inproceedings{48093, author = {{Pena, Mario and Meyer, Michael and Wallscheid, Oliver and Böcker, Joachim}}, booktitle = {{2023 IEEE International Electric Machines and Drives Conference (IEMDC)}}, location = {{San Francisco}}, publisher = {{IEEE}}, title = {{{Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control}}}, doi = {{10.1109/iemdc55163.2023.10239056}}, year = {{2023}}, } @article{48092, author = {{Pena, Mario and Meyer, Michael and Wallscheid, Oliver and Böcker, Joachim}}, issn = {{0885-8993}}, journal = {{IEEE Transactions on Power Electronics}}, keywords = {{Electrical and Electronic Engineering}}, number = {{10}}, pages = {{12416--12429}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines}}}, doi = {{10.1109/tpel.2023.3286713}}, volume = {{38}}, year = {{2023}}, } @inproceedings{53310, author = {{Gedlu, Emebet Gebeyehu and Wallscheid, Oliver and Böcker, Joachim and Nelles, Oliver}}, booktitle = {{2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)}}, publisher = {{IEEE}}, title = {{{Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control}}}, doi = {{10.1109/sdemped54949.2023.10271427}}, year = {{2023}}, } @article{53543, author = {{Winkel, Fabian and Scholz, Peter and Wallscheid, Oliver and Böcker, Joachim}}, issn = {{1545-5955}}, journal = {{IEEE Transactions on Automation Science and Engineering}}, keywords = {{Electrical and Electronic Engineering, Control and Systems Engineering}}, pages = {{1--11}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time}}}, doi = {{10.1109/tase.2023.3322762}}, year = {{2023}}, } @inproceedings{54838, author = {{Boshoff, Septimus and Stenner, Jan and Weber, Daniel and Meyer, Marvin and Chidananda, Vikas and Peitz, Sebastian and Wallscheid, Oliver}}, booktitle = {{IEEE Power and Energy Student Summit (PESS)}}, isbn = {{978-3-8007-6318-4}}, pages = {{124--129}}, publisher = {{VDE}}, title = {{{Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches}}}, year = {{2023}}, } @inproceedings{54839, author = {{Meyer, Marvin and Weber, Daniel and Chidananda, Vikas and Schweins, Oliver and Stenner, Jan and Boshoff, Septimus and Peitz, Sebastian and Wallscheid, Oliver}}, booktitle = {{IEEE Power and Energy Student Summit (PESS)}}, isbn = {{978-3-8007-6318-4}}, pages = {{112--117}}, publisher = {{VDE}}, title = {{{ElectricGrid.jl – Automated modeling of decentralized electrical energy grids}}}, year = {{2023}}, } @article{43456, author = {{Brosch, Anian and Wallscheid, Oliver and Böcker, Joachim}}, issn = {{0885-8993}}, journal = {{IEEE Transactions on Power Electronics}}, keywords = {{Electrical and Electronic Engineering}}, pages = {{1--14}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints}}}, doi = {{10.1109/tpel.2023.3265705}}, year = {{2023}}, } @article{46147, author = {{Brosch, Anian and Tinazzi, Fabio and Wallscheid, Oliver and Zigliotto, Mauro and Böcker, Joachim}}, issn = {{0885-8993}}, journal = {{IEEE Transactions on Power Electronics}}, keywords = {{Electrical and Electronic Engineering}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors}}}, doi = {{10.1109/tpel.2023.3294557}}, year = {{2023}}, } @article{46784, author = {{Wallscheid, Oliver and Peitz, Sebastian and Stenner, Jan and Weber, Daniel and Boshoff, Septimus and Meyer, Marvin and Chidananda, Vikas and Schweins, Oliver}}, issn = {{2475-9066}}, journal = {{Journal of Open Source Software}}, keywords = {{General Earth and Planetary Sciences, General Environmental Science}}, number = {{89}}, publisher = {{The Open Journal}}, title = {{{ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids}}}, doi = {{10.21105/joss.05616}}, volume = {{8}}, year = {{2023}}, } @article{46863, author = {{Schenke, Maximilian and Haucke-Korber, Barnabas and Wallscheid, Oliver}}, issn = {{0885-8993}}, journal = {{IEEE Transactions on Power Electronics}}, keywords = {{Electrical and Electronic Engineering}}, pages = {{1--16}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor}}}, doi = {{10.1109/tpel.2023.3303651}}, year = {{2023}}, } @inproceedings{46865, author = {{Haucke-Korber, Barnabas and Schenke, Maximilian and Wallscheid, Oliver}}, booktitle = {{2023 IEEE International Electric Machines & Drives Conference (IEMDC)}}, publisher = {{IEEE}}, title = {{{Deep Q Direct Torque Control with a Reduced Control Set Towards Six-Step Operation of Permanent Magnet Synchronous Motors}}}, doi = {{10.1109/iemdc55163.2023.10239018}}, year = {{2023}}, } @inproceedings{46864, author = {{Book, Felix and Traue, Arne and Schenke, Maximilian and Haucke-Korber, Barnabas and Wallscheid, Oliver}}, booktitle = {{2023 IEEE International Electric Machines & Drives Conference (IEMDC)}}, publisher = {{IEEE}}, title = {{{Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives}}}, doi = {{10.1109/iemdc55163.2023.10239044}}, year = {{2023}}, } @inproceedings{30349, author = {{Förster, Nikolas and Rehlaender, Philipp and Wallscheid, Oliver and Schafmeister, Frank and Böcker, Joachim}}, booktitle = {{Proc. 37th IEEE Applied Power Electronics Conference (APEC)}}, location = {{Houston, TX, USA}}, publisher = {{IEEE}}, title = {{{An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors}}}, year = {{2022}}, }