| Controller design for electrical drives by deep reinforcement learning: A proof of concept M Schenke, W Kirchgässner, O Wallscheid IEEE Transactions on Industrial Informatics 16 (7), 4650-4658, 2019 | 57 | 2019 |
| A deep Q-learning direct torque controller for permanent magnet synchronous motors M Schenke, O Wallscheid IEEE Open Journal of the Industrial Electronics Society 2, 388-400, 2021 | 32 | 2021 |
| 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, ... IEEE Open Journal of Power Electronics 2, 187-201, 2021 | 32 | 2021 |
| Gym-electric-motor (GEM): A python toolbox for the simulation of electric drive systems P Balakrishna, G Book, W Kirchgässner, M Schenke, A Traue, ... Journal of Open Source Software 6 (58), 2498, 2021 | 18 | 2021 |
| 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 | 9 | 2023 |
| Improving torque and speed estimation accuracy by conjoint parameter identification and unscented Kalman filter design for induction machines O Wallscheid, M Schenke, J Böcker 2018 21st International Conference on Electrical Machines and Systems (ICEMS …, 2018 | 8 | 2018 |
| Meta-Reinforcement Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes D Jakobeit, M Schenke, O Wallscheid IEEE Transactions on Power Electronics, 2023 | 7 | 2023 |
| 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 | 7 | 2021 |
| A combined approach to identify induction machine parameters and to design an extended kalman filter for speed and torque estimation O Wallscheid, M Schenke, J Böcker 2018 IEEE 18th International Power Electronics and Motion Control Conference …, 2018 | 7 | 2018 |
| Steady-state error compensation for reinforcement learning-based control of power electronic systems D Weber, M Schenke, O Wallscheid IEEE Access, 2023 | 5* | 2023 |
| Reinforcement learning course material W Kirchgässner, M Schenke, O Wallscheid, D Weber Paderborn Univ., Paderborn, Germany, 2020 | 4 | 2020 |
| 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 IKMT 2022; 13. GMM/ETG-Symposium, 1-6, 2022 | 2 | 2022 |
| Safe Reinforcement Learning-Based Control in Power Electronic Systems D Weber, M Schenke, O Wallscheid 2023 International Conference on Future Energy Solutions (FES), 1-6, 2023 | 1 | 2023 |
| 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 2023 IEEE International Electric Machines & Drives Conference (IEMDC), 1-7, 2023 | | 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 2023 IEEE International Electric Machines & Drives Conference (IEMDC), 1-7, 2023 | | 2023 |
Oliver WallscheidScientist, Siegen UniversityBestätigte E-Mail-Adresse bei uni-siegen.de
