Publikationen
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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
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
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
Fink D, Dues T, Kortmann KP, Blum P, Schweers C, Trabelsi A. A Recursive Gaussian Process based Online Driving Style Analysis. in 2023 American Control Conference (ACC). San Diego, USA: IEEE. 2023. S. 3187-3192. (Proceedings of the ... American Control Conference). doi: 10.23919/acc55779.2023.10156499
Lampe N, Ziaukas Z, Westerkamp C, Jacob HG. Analysis of the Potential of Onboard Vehicle Sensors for Model-based Maximum Friction Coefficient Estimation. in 2023 American Control Conference (ACC). San Diego, USA: IEEE. 2023. S. 1622-1628. (Proceedings of the American Control Conference). doi: 10.23919/ACC55779.2023.10156574
Volkmann B, Kortmann KP, Seel T. Friction and Road Condition Estimation using Bayesian Networks. in Ishii H, Ebihara Y, Imura J, Yamakita M, Hrsg., 22nd IFAC World Congress. 2 Aufl. Band 56. 2023. S. 854-861. (IFAC-PapersOnLine; 2). Epub 2023 Nov 22. doi: 10.1016/j.ifacol.2023.10.1672
Volkmann B, Kortmann KP. Friction and Road Condition Estimation using Dynamic Bayesian Networks. in 2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI). IEEE. 2023. (International Conference on Multisensor Fusion and Information Integration for Intelligent Systems). doi: 10.1109/SDF-MFI59545.2023.10361516
Ziaukas Z. Echtzeitfähige Schätzung dynamischer Zustände im Sattelzug. Hannover: Leibniz Universität Hannover, 2023. 121 S. doi: 10.15488/14017
Ehlers SFG, Sourkounis PK, Ziaukas Z, Kobler JP, Jacob HG. Optimized Tuning of an EKF for State and Parameter Estimation in a Semitrailer. in Proceedings 15th International Symposium on Advanced Vehicle Control - AVEC'22. 2022 doi: 10.15488/17784