Publikationen
Bank D, Schluender R, Kobler JP, Cujic P, Seel T, Weber DOM et al. Towards more sustainable transportation: Receding horizon predictive energy management for powered truck-trailers using probabilistic efficiency models. Energy Conversion and Management: X. 2026 Mai;30:101707. Epub 2026 Mär 10. doi: 10.1016/j.ecmx.2026.101707
Habich TL, Mohammad A, Ehlers SFG, Bensch M, Seel T, Schappler M. Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots using Physics-Informed Neural Networks. IEEE Transactions on Robotics. 2026 Jan 16;42:619 - 636. Epub 2025 Nov 12. doi: 10.1109/TRO.2025.3631818, 10.48550/arXiv.2502.01916
Volkmann B, Kerzel P, Ewering JH, Weber D, King J, Seel T et al. Joint estimation of vehicle states and spatio-temporal tyre–road friction using sequential Monte Carlo. Vehicle system dynamics. 2026 Mär 25. Epub 2026 Mär 25. doi: 10.1080/00423114.2026.2645983
Bank D, Kobler JP, Zeller T, Cujic P, Seel T, Ehlers SFG. Thermal and power consumption model of an electrically refrigerated trailer. International Journal of Refrigeration. 2025 Aug;176:425-436. Epub 2025 Mai 14. doi: 10.1016/j.ijrefrig.2025.04.026
Ewering JH, Papa A, Ehlers SFG, Seel T, Meindl MB. Dual Iterative Learning Control for Multiple-Input Multiple-Output Dynamics with Validation in Robotic Systems. 2025. Epub 2025. doi: 10.48550/arXiv.2509.18723
Fehsenfeld MJ. Zustandsüberwachung mechatronischer Antriebssysteme mittels maschineller Lernverfahren. Garbsen: TEWISS Verlag, 2025. 175 S. (Berichte aus dem imes).
Fink D. Fahrerindividuell energieoptimierte Fahrzeuglängsführung. Garbsen: TEWISS Verlag, 2025. 165 S. (Berichte aus dem imes).
Sterneck T, Zumsande J, Habich TL, Mohammad A, Ehlers S, Schappler M et al. A Modular and Open-Source Remote Laboratory for Practical Education on Mechatronic Test Benches. in Balogh R, Obdržálek D, Fachantidis N, Hrsg., Robotics in Education - Proceedings of the RiE 2025 Conference. Springer Science and Business Media Deutschland GmbH. 2025. S. 460-473. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-98762-5_39
Bank D, Fink D, Ehlers SFG, Seel T. Neural Network-Based Prediction of Vehicle Energy Consumption on Highways. in 2024 European Control Conference, ECC 2024. Institute of Electrical and Electronics Engineers Inc. 2024. S. 711-717 doi: 10.23919/ECC64448.2024.10590711
Ehlers SFG. Verfahren zur Zustandsschätzung im LKW-Trailer. Hannover: Leibniz Universität Hannover, 2024. 143 S. doi: 10.15488/18100
Ewering JH, Volkmann B, Ehlers SFG, Seel T, Meindl MB. Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline. in 2024 IEEE 63rd Conference on Decision and Control, CDC 2024. Institute of Electrical and Electronics Engineers Inc. 2024. S. 4157-4164. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC56724.2024.10886241, 10.48550/arXiv.2409.09331
Ewering JH, Schwarz C, Ehlers SFG, Jacob HG, Seel T, Heckmann A. Integrated Model Predictive Control of High-Speed Railway Running Gears with Driven Independently Rotating Wheels. IEEE Transactions on Vehicular Technology. 2024 Jun 1;73(6):7852-7865. Epub 2024 Jan 8. doi: 10.48550/arXiv.2309.09769, 10.1109/TVT.2024.3350699
Ewering JH, Ziaukas Z, Ehlers SFG, Seel T. Reliable State Estimation in a Truck-Semitrailer Combination using an Artificial Neural Network-Aided Extended Kalman Filter. in 2024 European Control Conference, ECC 2024. IEEE. 2024. S. 456-463 doi: 10.48550/arXiv.2406.14028, 10.23919/ECC64448.2024.10590814
Fink D, Maas O, Herda D, Ziaukas Z, Schweers C, Trabelsi A et al. Data-Based Energy Demand Prediction for Hybrid Electrical Vehicles. SN Computer Science. 2024 Jan 11;5:192. doi: 10.1007/s42979-023-02475-9
Lampe N, Ehlers SFG, Kortmann KP, Westerkamp C, Seel T. Model-Based Maximum Friction Coefficient Estimation for Road Surfaces with Gradient or Cross-Slope. in Conference Proceedings - 2024 35th IEEE Intelligent Vehicles Symposium (IV). Institute of Electrical and Electronics Engineers Inc. 2024. S. 2141-2147. (IEEE Intelligent Vehicles Symposium ). doi: 10.1109/IV55156.2024.10588642
Mehl M, Bartholdt M, Ehlers SFG, Seel T, Schappler M. Adaptive State Estimation with Constant-Curvature Dynamics Using Force-Torque Sensors with Application to a Soft Pneumatic Actuator. in 2024 IEEE International Conference on Robotics and Automation, ICRA 2024. Institute of Electrical and Electronics Engineers Inc. 2024. S. 14939-14945. (Proceedings - IEEE International Conference on Robotics and Automation). doi: 10.1109/ICRA57147.2024.10610370
Schäfke H, Habich TL, Muhmann C, Ehlers S, Seel T, Schappler M. Learning-Based Nonlinear Model Predictive Control of Articulated Soft Robots Using Recurrent Neural Networks. IEEE Robotics and Automation Letters. 2024 Dez;9(12):11609-11616. 11609. Epub 2024 Nov 11. doi: 10.1109/LRA.2024.3495579
Tantau M. Strukturidentifikation und Unterscheidbarkeit von Modellen für elektromechanische Antriebsstränge: Structure identification and distinguishability for models of electromechanical drive trains. Hannover: Leibniz Universität Hannover, 2024. 159 S. doi: 10.15488/17543
Zeipel H, Seel T, Habich TL, Ehlers SFG. Fast and Accurate Prediction of Vehicle Dynamics using Physics-Informed Neural Networks. 2024 Dez 12. Epub 2024 Dez 12. doi: 10.36227/techrxiv.173398186.65085317/v1
Caceres-Castellanos C, Kortmann KP, Fehsenfeld MJ. Condition Monitoring using Domain-Adversarial Networks with Convolutional Kernel Features. 2023. Beitrag in IFAC World Congress 2023, Yokohama, Japan. Epub 2023 Nov 22. doi: 10.1016/j.ifacol.2023.10.1180