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ORCIDOliver Wallscheid
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2020 – today
- 2024
[j13]Fabian Winkel, Peter Scholz, Oliver Wallscheid, Joachim Böcker:
Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time. IEEE Trans Autom. Sci. Eng. 21(4): 6165-6175 (2024)- [i11]Wilhelm Kirchgässner, Nikolas Förster, Till Piepenbrock, Oliver Schweins, Oliver Wallscheid:
HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores. CoRR abs/2401.11488 (2024) - 2023
- [j12]Daniel Weber
, Maximilian Schenke, Oliver Wallscheid:
Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems. IEEE Access 11: 76524-76536 (2023) - [j11]Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker:
Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. Eng. Appl. Artif. Intell. 117(Part): 105537 (2023) - [j10]Oliver Wallscheid, Sebastian Peitz, Jan Stenner, Daniel Weber, Septimus Boshoff, Marvin Meyer, Vikas Chidananda, Oliver Schweins:
ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids. J. Open Source Softw. 8(89): 5616 (2023) - [i10]Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira:
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. CoRR abs/2301.10737 (2023) - 2022
- [j9]Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid:
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Trans. Neural Networks Learn. Syst. 33(3): 919-928 (2022) - [c9]Marius Stender, Marius Becker, Oliver Wallscheid, Joachim Böcker:
Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions. IECON 2022: 1-6 - [d1]Maximilian Schenke, Wilhelm Kirchgässner, Oliver Wallscheid:
Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material). IEEE DataPort, 2022
- [i9]Daniel Weber, Maximilian Schenke, Oliver Wallscheid:
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control. CoRR abs/2201.13331 (2022) - 2021
- [j8]Daniel Weber, Stefan Heid, Henrik Bode, Jarren H. Lange, Eyke Hüllermeier, Oliver Wallscheid:
Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. IEEE Access 9: 35654-35669 (2021) - [j7]Praneeth Balakrishna, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke, Arne Traue, Oliver Wallscheid:
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. J. Open Source Softw. 6(58): 2498 (2021) - [j6]Marius Stender, Oliver Wallscheid, Joachim Böcker:
Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives. IEEE Trans. Ind. Electron. 68(9): 8646-8656 (2021) - [j5]Anian Brosch, Oliver Wallscheid, Joachim Böcker:
Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors. IEEE Trans. Ind. Informatics 17(12): 8080-8091 (2021) - [c8]Marius Stender, Oliver Wallscheid, Joachim Böcker:
Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor. IECON 2021: 1-6 - [i8]Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker:
Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning. CoRR abs/2103.16323 (2021) - [i7]Maximilian Schenke, Oliver Wallscheid:
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. CoRR abs/2105.08990 (2021) - 2020
- [j4]Stefan Heid, Daniel Weber, Henrik Bode, Eyke Hüllermeier, Oliver Wallscheid:
OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. J. Open Source Softw. 5(54): 2435 (2020) - [j3]Daniel Efren Gaona Erazo, Oliver Wallscheid, Joachim Böcker:
Improved Fusion of Permanent Magnet Temperature Estimation Techniques for Synchronous Motors Using a Kalman Filter. IEEE Trans. Ind. Electron. 67(3): 1708-1717 (2020) - [j2]Maximilian Schenke, Wilhelm Kirchgässner, Oliver Wallscheid:
Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Trans. Ind. Informatics 16(7): 4650-4658 (2020) - [i6]Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker:
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. CoRR abs/2001.06246 (2020) - [i5]Sören Hanke, Oliver Wallscheid, Joachim Böcker:
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part II). CoRR abs/2003.06268 (2020) - [i4]Sören Hanke, Oliver Wallscheid, Joachim Böcker:
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part I). CoRR abs/2003.07273 (2020) - [i3]Henrik Bode, Stefan Heid, Daniel Weber, Eyke Hüllermeier, Oliver Wallscheid:
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. CoRR abs/2005.04869 (2020)
2010 – 2019
- 2019
- [c7]Marius Stender, Oliver Wallscheid, Joachim Böcker:
Development of a Black-Box Two-Level IGBT Three-Phase Inverter Compensation Scheme for Electrical Drives. ISIE 2019: 296-301 - [c6]Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker:
Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines. ISIE 2019: 318-323 - [c5]Oliver Wallscheid, Muhammad Saad Shafiq, Joachim Böcker:
Stator Flux-Based Field-Oriented Position-Sensorless Control of Permanent Magnet Synchronous Motors With Limited Parameter Knowledge. ISIE 2019: 402-407 - [i2]Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid:
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. CoRR abs/1910.09434 (2019) - [i1]Anian Brosch, Sören Hanke, Oliver Wallscheid, Joachim Böcker:
Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors. CoRR abs/1911.12065 (2019) - 2017
- [j1]Oliver Wallscheid, Andreas Specht, Joachim Böcker:
Observing the Permanent-Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities. IEEE Trans. Ind. Electron. 64(5): 3921-3929 (2017) - [c4]Oliver Wallscheid, Wilhelm Kirchgässner, Joachim Böcker:
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors. IJCNN 2017: 1940-1947 - [c3]Thorsten Vogt, Daniel Weber, Oliver Wallscheid, Joachim Böcker:
Prediction of residual power peaks in industrial microgrids using artificial neural networks. IJCNN 2017: 3228-3235 - 2014
- [c2]Oliver Wallscheid, Tobias Huber, Wilhelm Peters, Joachim Böcker:
Real-time capable methods to determine the magnet temperature of permanent magnet synchronous motors - A review. IECON 2014: 811-818 - 2012
- [c1]Wilhelm Peters, Oliver Wallscheid, Joachim Böcker:
A precise open-loop torque control for an interior permanent magnet synchronous motor (IPMSM) considering iron losses. IECON 2012: 2877-2882
Coauthor Index
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last updated on 2024-10-30 21:36 CET by the dblp team
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