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8 Publications
2021 | Journal Article | LibreCat-ID: 22162
G. Book et al., “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments,” IEEE Open Journal of Power Electronics, pp. 187–201, 2021, doi: 10.1109/ojpel.2021.3065877.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29665
S. Hanke, O. Wallscheid, and J. Böcker, “Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor,” 2021, doi: 10.1049%2Ficp.2021.1122.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 21558
A. Brosch, S. Hanke, O. Wallscheid, and J. Böcker, “Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors,” IEEE Transactions on Power Electronics, pp. 2179–2190, 2020, doi: 10.1109/tpel.2020.3006779.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 29642
S. Hanke, O. Wallscheid, and J. Böcker, “Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II),” arXiv preprint arXiv:2003.06268, 2020.
LibreCat
2019 | Conference Paper | LibreCat-ID: 29636
S. Hanke, S. Peitz, O. Wallscheid, J. Böcker, and M. Dellnitz, “Finite-control-set model predictive control for a permanent magnet synchronous motor application with online least squares system identification,” in 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019, pp. 1–6.
LibreCat
2019 | Conference Paper | LibreCat-ID: 29637
S. Hanke, O. Wallscheid, and J. Böcker, “Continuous-control-set model predictive control with integrated modulator in permanent magnet synchronous motor applications,” in 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 2019, pp. 2210–2216.
LibreCat
2018 | Journal Article | LibreCat-ID: 29624
S. Hanke, S. Peitz, O. Wallscheid, S. Klus, J. Böcker, and M. Dellnitz, “Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives,” arXiv preprint arXiv:1804.00854, 2018.
LibreCat
2017 | Conference Paper | LibreCat-ID: 29620
S. Hanke, O. Wallscheid, and J. Böcker, “A direct model predictive torque control approach to meet torque and loss objectives simultaneously in permanent magnet synchronous motor applications,” in 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2017, pp. 101–106.
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