Publications
Showing results 21 - 40 out of 61
Ehlers SFG, Ziaukas Z, Kobler JP, Jacob HG. 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 HG. 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 HG. 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 HG. 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 HG. 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 HG. 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 HG. 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 HG. 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
Volkmann B, Ziaukas Z, Jacob HG. Estimation of Vehicle Attitude and Side-Slip using a Low-Cost IMU and Kinematic Vehicle Constraints. 2022. Paper presented at 15th International Symposium on Advanced Vehicle Control - AVEC'22.
Ehlers SFG, Ziaukas Z, Kobler JP, Busch A, Ortmaier T, Wielitzka M. Nichtlineares Zweispurmodell eines LKW-Sattelaufliegers mit experimenteller Validierung der lateralen und vertikalen Reifenkräfte. In VDI Mechatronik 2021. 2 ed. 2021
Fehsenfeld M, Kühn J, Wielitzka M, Ortmaier T. Tension Monitoring of Toothed Belt Drives Using Interval-Based Spectral Features. IFAC-PapersOnLine. 2021 Apr 14;53(2):738-743. doi: 10.1016/j.ifacol.2020.12.824
Fink D, Czarnecki JD, Wielitzka M, Schweers C, Trabelsi A. Fahrstilanalyse zur Erhöhung der Nutzerakzeptanz automatisiert energieeffizienter Fahrzeuglängsführung. In Digital‐Fachtagung VDI MECHATRONIK 2021. Darmstadt. 2021. p. 158-163 doi: 10.26083/tuprints-00017626
Kortmann KP, Fehsenfeld M, Wielitzka M. Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems. 2021 Apr 8. Epub 2021 Apr 8.
Kortmann KP, Fehsenfeld MJ, Wielitzka M. Featureextraktion aus heterogenen multivariaten Zeitreihendaten mechatronischer Systeme mittels Autoencoder-Netzwerken. In Digital‐Fachtagung VDI MECHATRONIK 2021. Darmstadt. 2021. p. 74-79 doi: 10.26083/tuprints-00017626
Tantau M, Perner L, Wielitzka M. Distinguishability Analysis for Multiple Mass Models of Servo Systems with Commissioning Sensors. In 2021 European Control Conference, ECC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 2479-2486 doi: 10.15488/10570, 10.23919/ECC54610.2021.9654884
Tantau M, Perner L, Wielitzka M. Model Selection for Servo Control Systems. International Journal of Mechatronics and Automation. 2021 Oct 21;8(3):111-125. doi: 10.15488/11498, 10.1504/IJMA.2021.118426
Tantau M, Morantz P, Shore P. Position sensor for active magnetic bearing with commercial linear optical encoders. CIRP Annals - Manufacturing Technology. 2021;70(1):419-422. Epub 2021 May 19. doi: 10.15488/10978, 10.1016/j.cirp.2021.04.092
Ziaukas Z, Busch A, Wielitzka M. Estimation of Vehicle Side-Slip Angle at Varying Road Friction Coefficients Using a Recurrent Artificial Neural Network. In 2021 IEEE Conference on Control Technology and Applications (CCTA). IEEE. 2021. p. 986-991. (Control Technology and Applications). doi: 10.1109/ccta48906.2021.9658710
Busch A, Fink D, Laves MH, Ziaukas Z, Wielitzka M, Ortmaier T. Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks. In Klomp M, Bruzelius F, Nielsen J, Hillemyr A, editors, Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden. Cham: Springer Nature. 2020. p. 1042-1051. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-030-38077-9_121