8 Publications

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[8]
2021 | Journal Article | LibreCat-ID: 22162
Book G, Traue A, Balakrishna P, et al. Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments. IEEE Open Journal of Power Electronics. Published online 2021:187-201. doi:10.1109/ojpel.2021.3065877
LibreCat | DOI
 
[7]
2021 | Conference Paper | LibreCat-ID: 29665
Hanke S, Wallscheid O, Böcker J. Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor. In: IET Digital Library; 2021. doi:10.1049%2Ficp.2021.1122
LibreCat | DOI
 
[6]
2020 | Journal Article | LibreCat-ID: 21558
Brosch A, Hanke S, Wallscheid O, Böcker J. Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors. IEEE Transactions on Power Electronics. Published online 2020:2179-2190. doi:10.1109/tpel.2020.3006779
LibreCat | DOI
 
[5]
2020 | Journal Article | LibreCat-ID: 29642
Hanke S, Wallscheid O, Böcker J. Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II). arXiv preprint arXiv:200306268. Published online 2020.
LibreCat
 
[4]
2019 | Conference Paper | LibreCat-ID: 29636
Hanke S, Peitz S, Wallscheid O, Böcker J, Dellnitz M. 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). ; 2019:1–6.
LibreCat
 
[3]
2019 | Conference Paper | LibreCat-ID: 29637
Hanke S, Wallscheid O, Böcker J. Continuous-control-set model predictive control with integrated modulator in permanent magnet synchronous motor applications. In: 2019 IEEE International Electric Machines & Drives Conference (IEMDC). ; 2019:2210–2216.
LibreCat
 
[2]
2018 | Journal Article | LibreCat-ID: 29624
Hanke S, Peitz S, Wallscheid O, Klus S, Böcker J, Dellnitz M. Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives. arXiv preprint arXiv:180400854. Published online 2018.
LibreCat
 
[1]
2017 | Conference Paper | LibreCat-ID: 29620
Hanke S, Wallscheid O, Böcker J. 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). ; 2017:101–106.
LibreCat
 

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8 Publications

Mark all

[8]
2021 | Journal Article | LibreCat-ID: 22162
Book G, Traue A, Balakrishna P, et al. Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments. IEEE Open Journal of Power Electronics. Published online 2021:187-201. doi:10.1109/ojpel.2021.3065877
LibreCat | DOI
 
[7]
2021 | Conference Paper | LibreCat-ID: 29665
Hanke S, Wallscheid O, Böcker J. Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor. In: IET Digital Library; 2021. doi:10.1049%2Ficp.2021.1122
LibreCat | DOI
 
[6]
2020 | Journal Article | LibreCat-ID: 21558
Brosch A, Hanke S, Wallscheid O, Böcker J. Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors. IEEE Transactions on Power Electronics. Published online 2020:2179-2190. doi:10.1109/tpel.2020.3006779
LibreCat | DOI
 
[5]
2020 | Journal Article | LibreCat-ID: 29642
Hanke S, Wallscheid O, Böcker J. Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II). arXiv preprint arXiv:200306268. Published online 2020.
LibreCat
 
[4]
2019 | Conference Paper | LibreCat-ID: 29636
Hanke S, Peitz S, Wallscheid O, Böcker J, Dellnitz M. 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). ; 2019:1–6.
LibreCat
 
[3]
2019 | Conference Paper | LibreCat-ID: 29637
Hanke S, Wallscheid O, Böcker J. Continuous-control-set model predictive control with integrated modulator in permanent magnet synchronous motor applications. In: 2019 IEEE International Electric Machines & Drives Conference (IEMDC). ; 2019:2210–2216.
LibreCat
 
[2]
2018 | Journal Article | LibreCat-ID: 29624
Hanke S, Peitz S, Wallscheid O, Klus S, Böcker J, Dellnitz M. Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives. arXiv preprint arXiv:180400854. Published online 2018.
LibreCat
 
[1]
2017 | Conference Paper | LibreCat-ID: 29620
Hanke S, Wallscheid O, Böcker J. 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). ; 2017:101–106.
LibreCat
 

Search

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Citation Style: AMA

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