Peitz S, Stenner J, Chidananda V, Wallscheid O, Brunton SL, Taira K. Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning. Physica D: Nonlinear Phenomena. 2024;461:134096. doi:10.1016/j.physd.2024.134096

Hölsch L, Brosch A, Steckel R, et al. Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives. IEEE Transactions on Energy Conversion. Published online 2024:1-12. doi:10.1109/tec.2024.3374962

Brosch A, Wallscheid O, Böcker J. Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints. IEEE Transactions on Power Electronics. Published online 2023:1-14. doi:10.1109/tpel.2023.3265705

Brosch A, Tinazzi F, Wallscheid O, Zigliotto M, Böcker J. Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors. IEEE Transactions on Power Electronics. Published online 2023. doi:10.1109/tpel.2023.3294557

Wallscheid O, Peitz S, Stenner J, et al. ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids. Journal of Open Source Software. 2023;8(89). doi:10.21105/joss.05616

Winkel F, Wallscheid O, Scholz P, Böcker J. Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. IEEE Open Journal of the Industrial Electronics Society. Published online 2023:1-14. doi:10.1109/ojies.2023.3323870

Pena M, Meyer M, Wallscheid O, Böcker J. Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control. In: 2023 IEEE International Electric Machines and Drives Conference (IEMDC). IEEE; 2023. doi:10.1109/iemdc55163.2023.10239056

Schenke M, Haucke-Korber B, Wallscheid O. Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor. IEEE Transactions on Power Electronics. Published online 2023:1-16. doi:10.1109/tpel.2023.3303651

Haucke-Korber B, Schenke M, Wallscheid O. Deep Q Direct Torque Control with a Reduced Control Set Towards Six-Step Operation of Permanent Magnet Synchronous Motors. In: 2023 IEEE International Electric Machines &;amp; Drives Conference (IEMDC). IEEE; 2023. doi:10.1109/iemdc55163.2023.10239018

Book F, Traue A, Schenke M, Haucke-Korber B, Wallscheid O. Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives. In: 2023 IEEE International Electric Machines &;amp; Drives Conference (IEMDC). IEEE; 2023. doi:10.1109/iemdc55163.2023.10239044

Pena M, Meyer M, Wallscheid O, Böcker J. Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines. IEEE Transactions on Power Electronics. 2023;38(10):12416-12429. doi:10.1109/tpel.2023.3286713

Gedlu EG, Wallscheid O, Böcker J, Nelles O. Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. In: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). IEEE; 2023. doi:10.1109/sdemped54949.2023.10271427

Winkel F, Scholz P, Wallscheid O, Böcker J. Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time. IEEE Transactions on Automation Science and Engineering. Published online 2023:1-11. doi:10.1109/tase.2023.3322762

Förster N, Rehlaender P, Wallscheid O, Schafmeister F, Böcker J. An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors. In: Proc. 37th IEEE Applied Power Electronics Conference (APEC). IEEE.

Brosch A, Wallscheid O, Böcker J. Model Predictive Torque Control for Permanent Magnet Synchronous Motors Using a Stator-Fixed Harmonic Flux Reference Generator in the Entire Modulation Range. IEEE Transactions on Power Electronics. Published online 2022. doi:10.1109/tpel.2022.3229619

Brosch A, Wallscheid O, Böcker J. Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control. IEEE Transactions on Power Electronics. Published online 2022. doi:10.1109/tpel.2022.3206598

Lange J, Schmies D, Stille KSC, Böcker J, Wallscheid O. Experimental Comparison of FPGA-Implemented Model Predictive Voltage Control to Cascaded Proportional Resonant Control for a Three-Phase Four-Wire Three-Level Grid-Forming Inverter of 250 kVA. In: EPE’22 ECCE Europe. IEEE; 2022.

Stender M, Becker M, Wallscheid O, Böcker J. Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions. In: 48th Annual Conference of the Industrial Electronics Society (IECON). ; 2022. doi:10.1109/IECON49645.2022.9968695

Förster N, Rehlaender P, Wallscheid O, Schafmeister F, Böcker J. An Open-Source Transistor Database and Toolbox as a Unified Software Engineering Tool for Managing and Evaluating Power Transistors. In: 2022 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE; 2022. doi:10.1109/apec43599.2022.9773701

Förster N, Piepenbrock T, Rehlaender P, Wallscheid O, Schafmeister F, Böcker J. An Open-Source FEM Magnetics Toolbox for Power Electronic Magnetic Components. In: PCIM Europe 2022; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. ; 2022:1-10. doi:10.30420/565822103

Haucke-Korber B, Schenke M, Wallscheid O. Reinforcement Learning-Based Deep Q Direct Torque Control with Adaptable Switching Frequency Towards Six-Step Operation of Permanent Magnet Synchronous Motors. In: IKMT 2022; 13. GMM/ETG-Symposium. ; 2022:1-6.

Kirchgässner W, Wallscheid O, Böcker J. Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. Engineering Applications of Artificial Intelligence. 2022;117. doi:10.1016/j.engappai.2022.105537

Kirchgässner W, Wallscheid O, Böcker J. Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations. In: 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia). IEEE; 2022. doi:10.23919/ipec-himeji2022-ecce53331.2022.9807209

Rehlaender P, Wallscheid O, Schafmeister F, Böcker J. LLC Resonant Converter Modulations for Reduced Junction Temperatures in Half-Bridge Mode and Transformer Flux in the On-the-Fly Morphing Thereto. IEEE Transactions on Power Electronics. 2022;37(11):13413-13427. doi:10.1109/tpel.2022.3180758

Kirchgässner W, Wöckinger D, Wallscheid O, Bramerdorfer G, Böcker J. Application of Thermal Neural Networks on a Small-Scale Electric Motor. In: IKMT 2022; 13. GMM/ETG-Symposium. ; 2022:1-6.

Brosch A, Rauhaus J, Wallscheid O, Böcker J, Zimmer D. Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems. IEEE Open Journal of Industry Applications. Published online 2022. doi:10.1109/ojia.2022.3171333

Förster N, Hölscher J, Piepenbrock T, et al. An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components. In: 2022 24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe). ; 2022:P.1-P.9.

Brosch A, Wallscheid O, Böcker J. Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation. IEEE Open Journal of Industry Applications. 2021;2:47–63. doi:10.1109/OJIA.2021.3066105

Gedlu EG, Wallscheid O, Böcker J. Temperature estimation of electric machines using a hybrid model of feed-forward neural and low-order lumped-parameter thermal networks. In: 2021 IEEE International Electric Machines &; Drives Conference (IEMDC). ; 2021:1–8. doi:10.1109/IEMDC47953.2021.9449548

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

Weber D, Heid S, Bode H, Lange J, Hüllermeier E, Wallscheid O. Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. IEEE Access. 2021;9:35654–35669. doi:10.1109/ACCESS.2021.3062144

Stender M, Wallscheid O, Böcker J. Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer. IEEE Transactions on Power Electronics. 2021;36(11):13261-13274. doi:10.1109/tpel.2021.3080129

Stender M, Wallscheid O, Böcker J. Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach. In: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE; 2021. doi:10.1109/pemc48073.2021.9432615

Stender M, Wallscheid O, Böcker J. Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor. In: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE; 2021. doi:10.1109/iecon48115.2021.9589225

Stender M, Wallscheid O, Böcker J. Gray-Box Loss Model for Induction Motor Drives. In: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE; 2021. doi:10.1109/pemc48073.2021.9432491

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

Wallscheid O. Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges. IEEE Open Journal of Industry Applications. Published online 2021.

Kirchgässner W, Wallscheid O, Böcker J. Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark. IEEE Transactions on Energy Conversion. 2021;36(3):2059-2067. doi:10.1109/tec.2021.3052546

Balakrishna P, Book G, Kirchgässner W, Schenke M, Traue A, Wallscheid O. gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. Journal of Open Source Software. Published online 2021. doi:10.21105/joss.02498

Schenke M, Wallscheid O. A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors. IEEE Open Journal of the Industrial Electronics Society. Published online 2021:388-400. doi:10.1109/ojies.2021.3075521

Schenke M, Wallscheid O. Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. arXiv preprint arXiv:210508990. Published online 2021.

Brosch A, Wallscheid O, Böcker J. Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors. IEEE Transactions on Industrial Informatics. Published online 2021. doi:10.1109/tii.2021.3060469

Kirchgässner W, Wallscheid O, Böcker J. Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning. arXiv preprint arXiv:210316323. Published online 2021.

Traue A, Book G, Kirchgässner W, Wallscheid O. Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Transactions on Neural Networks and Learning Systems. Published online 2020:1-10. doi:10.1109/tnnls.2020.3029573

Kirchgässner W, Wallscheid O, Böcker J. Estimating Electric Motor Temperatures with Deep Residual Machine Learning. IEEE Transactions on Power Electronics. 2020;36(7):7480-7488. doi:10.1109/tpel.2020.3045596

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

Stille KSC, Weber D, Lange J, Vogt T, Wallscheid O, Böcker J. Emulation of Microgrids for Research and Validation of Control and Operation Strategies. In: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE; 2020. doi:10.1109/speedam48782.2020.9161971

Stender M, Wallscheid O, Böcker J. Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives. IEEE Transactions on Industrial Electronics. 2020;68(9):8646-8656. doi:10.1109/tie.2020.3018060

Stender M, Wallscheid O, Böcker J. Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers. In: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE; 2020. doi:10.1109/speedam48782.2020.9161955

Heid S, Weber D, Bode H, Hüllermeier E, Wallscheid O. OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. Journal of Open Source Software. 2020;5(54):2435.

Bode H, Heid S, Weber D, Hüllermeier E, Wallscheid O. Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. arXiv preprint arXiv:200504869. Published online 2020.

Gedlu EG, Wallscheid O, Böcker J. Permanent magnet synchronous machine temperature estimation using low-order lumped-parameter thermal network with extended iron loss model. In: The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020). Vol 2020. ; 2020:937–942.

Wallscheid O, Ngoumtsa EFB. Investigation of disturbance observers for model predictive current control in electric drives. IEEE Transactions on Power Electronics. 2020;35(12):13563–13572.

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.

Kirchgässner W, Wallscheid O, Böcker J. Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. arXiv preprint arXiv:200106246. Published online 2020.

Stender M, Wallscheid O, Böcker J. Data Set Description: Three-Phase IGBT Two-Level Inverter for Electrical Drives.; 2020. doi:10.13140/RG.2.2.23335.37280

Schenke M, Kirchgässner W, Wallscheid O. Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Transactions on Industrial Informatics. Published online 2019:4650-4658. doi:10.1109/tii.2019.2948387

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

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

Stender M, Wallscheid O, Böcker J. Development of a Black-Box Two-Level IGBT Three-Phase Inverter Compensation Scheme for Electrical Drives. In: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). IEEE; 2019. doi:10.1109/isie.2019.8781543

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.

Wallscheid O, Shafiq MS, Böcker J. Stator flux-based field-oriented position-sensorless control of permanent magnet synchronous motors with limited parameter knowledge. In: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). ; 2019:402–407.

Wallscheid O, Ngoumtsa EFB, Böcker J. Hierarchical model predictive speed and current control of an induction machine drive with moving-horizon load torque estimator. In: 2019 IEEE International Electric Machines &; Drives Conference (IEMDC). ; 2019:2188–2195.

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.

Gaona DEE, Wallscheid O, Böcker J. Improved Fusion of Permanent Magnet Temperature Estimation Techniques for Synchronous Motors Using a Kalman Filter. IEEE Transactions on Industrial Electronics. Published online 2019.

Weber D, Stille KSC, Wallscheid O, Böcker J. Energy Management for a Nano-CHP Unit and an Electrical Storage System in a Residential Application. In: 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE; 2018. doi:10.1109/speedam.2018.8445296

Wallscheid O, Schenke M, Böcker J. Improving torque and speed estimation accuracy by conjoint parameter identification and unscented Kalman filter design for induction machines. In: 2018 21st International Conference on Electrical Machines and Systems (ICEMS). ; 2018:1181–1186.

Wallscheid O, Schenke M, Böcker J. A combined approach to identify induction machine parameters and to design an extended kalman filter for speed and torque estimation. In: 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC). ; 2018:793–799.

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.

Weber D, Rafsan Jani MI, Grabo M, et al. Lifetime Extension of Photovoltaic Modules by Influencing the Module Temperature Using Phase Change Material. In: World Conference on Photovoltaic Energy Conversion (WCPEC-7), 45th IEEE PVSC, 28th PVSEC, 34th EU PVSEC. ; 2018. doi: 10.1109/PVSC.2018.8548115

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

Gaona D, Wallscheid O, Böcker J. Glocal identification methods for low-order lumped parameter thermal networks used in permanent magnet synchronous motors. In: 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS). ; 2017:1–126.

Gaona D, Wallscheid O, Böcker J. Sensitivity analysis of a permanent magnet temperature observer for PM synchronous machines using the monte carlo method. In: 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS). ; 2017:599–606.

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.

Wallscheid O, Specht A, Böcker J. Observing the Permanent Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities. IEEE Transactions on Industrial Electronics. 2017;64(5):3921–3929.

Gaona D, Wallscheid O, Böcker J. Fusion of a lumped-parameter thermal network and speed-dependent flux observer for PM temperature estimation in synchronous machines. In: 2017 IEEE Southern Power Electronics Conference (SPEC). ; 2017:1–6.

Wallscheid O, Böcker J. Fusion of direct and indirect temperature estimation techniques for permanent magnet synchronous motors. In: 2017 IEEE International Electric Machines and Drives Conference (IEMDC). ; 2017:1–8.

Wallscheid O, Böcker J. Derating of automotive drive systems using model predictive control. In: 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). ; 2017:31–36.

Vogt T, Weber D, Wallscheid O, Böcker J. Prediction of residual power peaks in industrial microgrids using artificial neural networks. In: International Joint Conference on Neural Networks (IJCNN). ; 2017:3228–3235.

Wallscheid O. Ein Beitrag zur thermischen Ausnutzung permanenterregter Synchronmotoren in automobilen Traktionsanwendungen. Shaker Verlag; 2017.

Wallscheid O, Huber T, Peters W, Böcker J. A Critical Review of Techniques to Determine the Magnet Temperature of Permanent Magnet Synchronous Motors under Real-time Conditions. EPE Journal. 2016;(25):1–10.

Wallscheid O, Ammann U, Böcker J. Real-time capable model predictive control of permanent magnet synchronous motors using particle swarm optimisation. In: PCIM Europe 2016; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. ; 2016:1–8.

Wallscheid O, Böcker J. Global Identification of a Low-Order Lumped-Parameter Thermal Network for Permanent Magnet Synchronous Motors. IEEE Transactions on Energy Conversion. 2015;31(1):354–365.

Wallscheid O, Meyer M, Böcker J. An open-loop operation strategy for induction motors considering iron losses and saturation effects in automotive applications. In: 2015 IEEE 11th International Conference on Power Electronics and Drive Systems. ; 2015:981–985.

Wallscheid O, Böcker J. Design and Identification of a Lumped-Parameter Thermal Network for Permanent Magnet Synchronous Motors Based on Heat Transfer Theory and Particle Swarm Optimisation. In: European Conference on Power Electronics and Applications (EPE). ; 2015.

Wallscheid O, Böcker J. Design and Empirical Identification of a Lumped Parameter Thermal Network for Permanent Magnet Synchronous Motors with Physically Motivated Constraints. In: IEEE International Electric Machines and Drives Conference (IEMDC). ; 2015.

Peters W, Wallscheid O, Böcker J. Optimum Efficiency Control of Interior Permanent Magnet Synchronous Motors in Drive Trains of Electric and Hybrid Vehicles. In: European Conference on Power Electronics and Applications (EPE). ; 2015. doi:10.1109/EPE.2015.7311680

Wallscheid O, Huber T, Peters W, Böcker J. Real-time capable methods to determine the magnet temperature of permanent magnet synchronous motors—A review. In: IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society. ; 2014:811–818.

Specht A, Wallscheid O, Böcker J. Determination of rotor temperature for an interior permanent magnet synchronous machine using a precise flux observer. In: 2014 International Power Electronics Conference (IPEC-Hiroshima 2014-ECCE ASIA). ; 2014:1501–1507.

Wallscheid O, Böcker J. Wirkungsgradoptimale Arbeitspunktsteuerung für einen permanenterregten Synchronmotor mit vergrabenen Magneten unter Berücksichtigung von Temperatureinflüssen. In: ETG-Fachbericht-Internationaler ETG-Kongress 2013–Energieversorgung Auf Dem Weg Nach 2050. ; 2013.

Specht A, Ober-Blöbaum S, Wallscheid O, Romaus C, Böcker J. Discrete-time model of an IPMSM based on variational integrators. In: Electric Machines &; Drives Conference (IEMDC), 2013 IEEE International. ; 2013:1411–1417.

Peters W, Wallscheid O, Böcker J. A precise open-loop torque control for an interior permanent magnet synchronous motor (IPMSM) considering iron losses. In: IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society. ; 2012:2877–2882.

Wallscheid O, Peters W, Böcker J. Optimierte Regelung für mobile Elektromotoren. Aktuelle Technik. 2011;5(1):30–33.

Peters W, Wallscheid O, Böcker J. Current controller with defined dynamic behavior for an interior permanent magnet synchronous motor. In: IECON 2011-37th Annual Conference of the IEEE Industrial Electronics Society. ; 2011:534–538.