Publications – Institute of Mechatronic Systems

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 May 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 p. (Berichte aus dem imes).

Fink D. Fahrerindividuell energieoptimierte Fahrzeuglängsführung. Garbsen: TEWISS Verlag, 2025. 165 p. (Berichte aus dem imes).

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. 2025 Nov 12. Epub 2025 Nov 12. doi: 10.1109/TRO.2025.3631818

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, editors, Robotics in Education - Proceedings of the RiE 2025 Conference. Springer Science and Business Media Deutschland GmbH. 2025. p. 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. p. 711-717 doi: 10.23919/ECC64448.2024.10590711

Ehlers SFG. Verfahren zur Zustandsschätzung im LKW-Trailer. Hannover: Leibniz Universität Hannover, 2024. 143 p. 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. p. 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. p. 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. p. 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. p. 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 Dec;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 p. doi: 10.15488/17543

Caceres-Castellanos C, Kortmann KP, Fehsenfeld MJ. Condition Monitoring using Domain-Adversarial Networks with Convolutional Kernel Features. 2023. Paper presented at IFAC World Congress 2023, Yokohama, Japan. Epub 2023 Nov 22. doi: 10.1016/j.ifacol.2023.10.1180

Ehlers SFG, Kortmann KP, Kobler JP. Hybrid State Estimation in a Semitrailer for Different Loading Conditions. IFAC-PapersOnLine. 2023;56(2):5717-5722. Epub 2023 Nov 22. doi: 10.1016/j.ifacol.2023.10.518

Fehsenfeld M, Kühn J, Kortmann KP. Comparative Study of Excitation Signals for Active Fault Diagnosis of Belt Drives. In 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE). IEEE. 2023 doi: 10.1109/isie51358.2023.10228157

Fehsenfeld M, Kühn J, Kortmann KP. Multi-Source Domain Adaptation for Fault Diagnosis of Belt Drives. IFAC-PapersOnLine. 2023;56(2):11305-11310. Epub 2023 Nov 22. doi: 10.1016/j.ifacol.2023.10.411