Peitz, Sebastian, et al. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.”10.1016/j.physd.2024.134096__Physica D: Nonlinear Phenomena, vol. 461, Elsevier, 2024, p. 134096, doi:10.1016/j.physd.2024.134096.

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.

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.

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.

Wallscheid, Oliver, et al. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.”10.21105/joss.05616__Journal of Open Source Software, vol. 8, no. 89, 5616, The Open Journal, 2023, doi:10.21105/joss.05616.