Publications

Showing results 1 - 20 out of 52

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 Jan 8;1-13. Epub 2024 Jan 8. doi: 10.48550/arXiv.2309.09769, 10.1109/TVT.2024.3350699
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
Caceres-Castellanos C, Kortmann K-P, 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 K-P, 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 K-P. 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 K-P. 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 K-P, 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. p. 3187-3192. (Proceedings of the ... American Control Conference). doi: 10.23919/acc55779.2023.10156499
Lampe N, Ziaukas Z, Westerkamp C, Jacob H-G. 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. p. 1622-1628. (Proceedings of the American Control Conference). doi: 10.23919/ACC55779.2023.10156574
Volkmann B, Kortmann K-P, Seel T. Friction and Road Condition Estimation using Bayesian Networks. In Ishii H, Ebihara Y, Imura J, Yamakita M, editors, 22nd IFAC World Congress. 2 ed. Vol. 56. 2023. p. 854-861. (IFAC-PapersOnLine; 2). Epub 2023 Nov 22. doi: 10.1016/j.ifacol.2023.10.1672
Volkmann B, Kortmann K-P. 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
Ehlers SFG, Sourkounis P, Ziaukas Z, Kobler JP, Jacob H-G. Optimized Tuning of an EKF for State and Parameter Estimation in a Semitrailer. In 15th International Symposium on Advanced Vehicle Control - AVEC'22. 2022
Ehlers SFG, Ziaukas Z, Kobler J-P, Jacob H-G. State and Parameter Estimation in a Semitrailer for Different Loading Conditions Only Based on Trailer Signals. In Proceedings of the 2022 American Control Conference (ACC). Institute of Electrical and Electronics Engineers Inc. 2022. p. 2353-2360. (Proceedings of the American Control Conference). Epub 2022 Sept 5. doi: 10.23919/ACC53348.2022.9867797
Fehsenfeld MJ, Kühn J, Ziaukas Z, Jacob H-G. Comparison of Different Excitation Strategies for Fault Diagnosis of Belt Drives: Industrial Application Scenarios. In Gini G, Nijmeijer H, Burgard W, Filev DP, editors, Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics. 2022. p. 177-184 doi: 10.5220/0011274100003271
Fehsenfeld MJ, Kühn J, Ziaukas Z, Jacob H-G. Multisine Input Design for Active Data-Driven Fault Diagnosis of Belt Drives. In 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE). 2022. p. 480-485. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/isie51582.2022.9831682
Fink D, Schulz Y, Ziaukas Z, Schweers C, Trabelsi A, Jacob H-G. Assessment of Algorithms for a Real-Time Optimization of the Vehicle Speed. In Proceedings of the 15th International Symposium on Advanced Vehicle Technology (AVEC '22). Vol. 15. Tokio. 2022
Fink D, Shugar S, Ziaukas Z, Schweers C, Trabelsi A, Jacob H-G. Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization. In Ploeg J, Ploeg J, Helfert M, Berns K, Gusikhin O, editors, Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems. Vol. 1. 2022. p. 116 - 123. (International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings). doi: 10.5220/0011075600003191
Lampe N, Ziaukas Z, Westerkamp C, Jacob H-G. Estimation of Maximum Friction Coefficient Using Recurrent Artificial Neural Networks. In 2022 The 3rd International Conference on Robotics Systems and Vehicle Technology (RSVT). New York, NY, United States: Association for Computing Machinery (ACM). 2022. p. 28-35 doi: 10.1145/3560453.3560459
Tantau M, Jonsky T, Ziaukas Z, Jacob H-G. Control-relevant Model Selection for Multiple-Mass Systems. In Gini G, Nijmeijer H, Burgard W, Filev DP, editors, International Conference on Informatics in Control, Automation and Robotics. SciTePress. 2022. p. 605-615. (Proceedings of the International Conference on Informatics in Control, Automation and Robotics). doi: 10.15488/11990, 10.5220/0011231200003271
Tantau M, Jonsky T, Ziaukas Z, Jacob H-G. Control-Relevant Model Selection for Servo Control Systems. In 8th International Conference on Control, Decision and Information Technologies. 2022. p. 86-93 doi: 10.1109/CoDIT55151.2022.9804063
Tantau M, Perner L, Wielitzka M. Nutzen von Zusatzsensorik für die Unterscheidbarkeit von Modellen für elektrische Antriebsstränge bei der Struktur- und Parameteridentifikation. In Digital‐Fachtagung MECHATRONIK 2021 : Darmstadt, 24.‐25.03.2021. Darmstadt. 2022 doi: 10.15488/10426, 10.26083/tuprints-00017626