A precise open-loop torque control for an interior permanent magnet synchronous motor (IPMSM) considering iron losses. - Wilhelm Peters; Oliver Wallscheid; Joachim Böcker (IECON, 2012)

Real-time capable methods to determine the magnet temperature of permanent magnet synchronous motors - A review. - Oliver Wallscheid; Tobias Huber; Wilhelm Peters; Joachim Böcker (IECON, 2014)

Prediction of residual power peaks in industrial microgrids using artificial neural networks. - Thorsten Vogt; Daniel Weber 004; Oliver Wallscheid; Joachim Böcker (IJCNN, 2017)

Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors. - Oliver Wallscheid; Wilhelm Kirchgässner; Joachim Böcker (IJCNN, 2017)

Observing the Permanent-Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities. - Oliver Wallscheid; Andreas Specht; Joachim Böcker (IEEE Trans. Ind. Electron., 2017)

Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines. - Wilhelm Kirchgässner; Oliver Wallscheid; Joachim Böcker (ISIE, 2019)

Development of a Black-Box Two-Level IGBT Three-Phase Inverter Compensation Scheme for Electrical Drives. - Marius Stender; Oliver Wallscheid; Joachim Böcker (ISIE, 2019)

Stator Flux-Based Field-Oriented Position-Sensorless Control of Permanent Magnet Synchronous Motors With Limited Parameter Knowledge. - Oliver Wallscheid; Muhammad Saad Shafiq; Joachim Böcker (ISIE, 2019)

Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. - Arne Traue; Gerrit Book; Wilhelm Kirchgässner; Oliver Wallscheid (CoRR, 2019)

Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors. - Anian Brosch; Sören Hanke; Oliver Wallscheid; Joachim Böcker (CoRR, 2019)

Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. - Wilhelm Kirchgässner; Oliver Wallscheid; Joachim Böcker (CoRR, 2020)

Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part II). - Sören Hanke; Oliver Wallscheid; Joachim Böcker (CoRR, 2020)

Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part I). - Sören Hanke; Oliver Wallscheid; Joachim Böcker (CoRR, 2020)

Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. - Henrik Bode; Stefan Heid; Daniel Weber 004; Eyke Hüllermeier; Oliver Wallscheid (CoRR, 2020)

OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. - Stefan Heid; Daniel Weber 004; Henrik Bode; Eyke Hüllermeier; Oliver Wallscheid (J. Open Source Softw., 2020)

Improved Fusion of Permanent Magnet Temperature Estimation Techniques for Synchronous Motors Using a Kalman Filter. - Daniel Efren Gaona Erazo; Oliver Wallscheid; Joachim Böcker (IEEE Trans. Ind. Electron., 2020)

Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. - Maximilian Schenke; Wilhelm Kirchgässner; Oliver Wallscheid (IEEE Trans. Ind. Informatics, 2020)

Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor. - Marius Stender; Oliver Wallscheid; Joachim Böcker (IECON, 2021)

Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. - Daniel Weber 004; Stefan Heid; Henrik Bode; Jarren H. Lange; Eyke Hüllermeier; Oliver Wallscheid (IEEE Access, 2021)

Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. - Maximilian Schenke; Oliver Wallscheid (CoRR, 2021)

gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. - Praneeth Balakrishna; Gerrit Book; Wilhelm Kirchgässner; Maximilian Schenke; Arne Traue; Oliver Wallscheid (J. Open Source Softw., 2021)

Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives. - Marius Stender; Oliver Wallscheid; Joachim Böcker (IEEE Trans. Ind. Electron., 2021)

Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors. - Anian Brosch; Oliver Wallscheid; Joachim Böcker (IEEE Trans. Ind. Informatics, 2021)

Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions. - Marius Stender; Marius Becker; Oliver Wallscheid; Joachim Böcker (IECON, 2022)

Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control. - Daniel Weber 004; Maximilian Schenke; Oliver Wallscheid (CoRR, 2022)

Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. - Arne Traue; Gerrit Book; Wilhelm Kirchgässner; Oliver Wallscheid (IEEE Trans. Neural Networks Learn. Syst., 2022)

Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material). - Maximilian Schenke; Wilhelm Kirchgässner; Oliver Wallscheid (IEEE DataPort, 2022)

Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems. - Daniel Weber 004; Maximilian Schenke; Oliver Wallscheid (IEEE Access, 2023)

Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. - Sebastian Peitz; Jan Stenner; Vikas Chidananda; Oliver Wallscheid; Steven L. Brunton; Kunihiko Taira (CoRR, 2023)

Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. - Wilhelm Kirchgässner; Oliver Wallscheid; Joachim Böcker (Eng. Appl. Artif. Intell., 2023)

ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids. - Oliver Wallscheid; Sebastian Peitz; Jan Stenner; Daniel Weber 004; Septimus Boshoff; Marvin Meyer; Vikas Chidananda; Oliver Schweins (J. Open Source Softw., 2023)

HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores. - Wilhelm Kirchgässner; Nikolas Förster; Till Piepenbrock; Oliver Schweins; Oliver Wallscheid (CoRR, 2024)

Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time. - Fabian Winkel; Peter Scholz; Oliver Wallscheid; Joachim Böcker (IEEE Trans Autom. Sci. Eng., 2024)