Hölsch, Lukas, et al. “Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives.”10.1109/tec.2024.3374962__IEEE Transactions on Energy Conversion, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 1–12, doi:10.1109/tec.2024.3374962.
LibreCat: /record/53309
DOI: 10.1109/tec.2024.3374962

Brosch, Anian, et al. “Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints.”10.1109/tpel.2023.3265705__IEEE Transactions on Power Electronics, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:10.1109/tpel.2023.3265705.
LibreCat: /record/43456
DOI: 10.1109/tpel.2023.3265705

Brosch, Anian, et al. “Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors.”10.1109/tpel.2023.3294557__IEEE Transactions on Power Electronics, Institute of Electrical and Electronics Engineers (IEEE), 2023, doi:10.1109/tpel.2023.3294557.
LibreCat: /record/46147
DOI: 10.1109/tpel.2023.3294557

Brosch, Anian, et al. “Model Predictive Torque Control for Permanent Magnet Synchronous Motors Using a Stator-Fixed Harmonic Flux Reference Generator in the Entire Modulation Range.”10.1109/tpel.2022.3229619__IEEE Transactions on Power Electronics, Institute of Electrical and Electronics Engineers (IEEE), 2022, doi:10.1109/tpel.2022.3229619.
LibreCat: /record/34533
DOI: 10.1109/tpel.2022.3229619

Brosch, Anian, et al. “Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control.”10.1109/tpel.2022.3206598__IEEE Transactions on Power Electronics, Institute of Electrical and Electronics Engineers (IEEE), 2022, doi:10.1109/tpel.2022.3206598.
LibreCat: /record/33459
DOI: 10.1109/tpel.2022.3206598

Brosch, Anian, et al. “Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems.”10.1109/ojia.2022.3171333__IEEE Open Journal of Industry Applications, Institute of Electrical and Electronics Engineers (IEEE), 2022, doi:10.1109/ojia.2022.3171333.
LibreCat: /record/31085
DOI: 10.1109/ojia.2022.3171333

Brosch, Anian, et al. “Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation.”10.1109/OJIA.2021.3066105__IEEE Open Journal of Industry Applications, vol. 2, IEEE, 2021, pp. 47–63, doi:10.1109/OJIA.2021.3066105.
LibreCat: /record/29657
DOI: 10.1109/OJIA.2021.3066105

Book, Gerrit, et al. “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments.”10.1109/ojpel.2021.3065877__IEEE Open Journal of Power Electronics, 2021, pp. 187–201, doi:10.1109/ojpel.2021.3065877.
LibreCat: /record/22162
DOI: 10.1109/ojpel.2021.3065877

Brosch, Anian, et al. “Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors.”10.1109/tii.2021.3060469__IEEE Transactions on Industrial Informatics, 2021, doi:10.1109/tii.2021.3060469.
LibreCat: /record/21557
DOI: 10.1109/tii.2021.3060469

Brosch, Anian, et al. “Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors.”10.1109/tpel.2020.3006779__IEEE Transactions on Power Electronics, 2020, pp. 2179–90, doi:10.1109/tpel.2020.3006779.
LibreCat: /record/21558
DOI: 10.1109/tpel.2020.3006779