Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept
M. Schenke, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Industrial Informatics (2019) 4650–4658.
LibreCat: /record/25030
DOI: 10.1109/tii.2019.2948387

Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019.
LibreCat: /record/21247
DOI: 10.1109/isie.2019.8781195

Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE International Electric Machines &; Drives Conference (IEMDC), 2019.
LibreCat: /record/21249
DOI: 10.1109/iemdc.2019.8785109

Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors
O. Wallscheid, W. Kirchgässner, J. Böcker, in: 2017 International Joint Conference on Neural Networks (IJCNN), 2017.
LibreCat: /record/21248
DOI: 10.1109/ijcnn.2017.7966088