Publications
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
Ehlers SFG, Stuede M, Nülle K, Ortmaier T. Map Management Approach for SLAM in Large-Scale Indoor and Outdoor Areas. In 2020 IEEE International Conference on Robotics and Automation, ICRA 2020. 2020. p. 9652-9658. 9196997 doi: 10.1109/icra40945.2020.9196997
Fink D, Busch A, Wielitzka M, Ortmaier T. Resource Efficient Classification of Road Conditions through CNN Pruning. In 21st IFAC World Congress. 2 ed. Vol. 53. Berlin, Germany. 2020. p. 13958-13963. (IFAC-PapersOnLine). doi: 10.1016/j.ifacol.2020.12.913
Jahn T, Ziaukas Z, Kobler JP, Wielitzka M, Ortmaier T. Neural Observer for Nonlinear State and Input Estimation in a Truck-Semitrailer Combination. In 21st IFAC World Congress. Berlin, Germany. 2020
Popp E, Tantau M, Wielitzka M, Giebert D, Ortmaier T. Design of a PI-Controller Based on Time-Domain Specification Utilizing the Parameter Space Approach. International Federation of Automatic Control (IFAC). 2020;53(2):8884-8890. doi: 10.15488/10814, 10.1016/j.ifacol.2020.12.1408
Popp E, Tantau M, Wielitzka M, Ortmaier T. Performance Optimal and Robust Design of an Idle-Speed Controller Considering Physical Uncertainties. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020. Beijing, China. 2020. p. 953-959. 9233835 doi: 10.15488/10816, 10.1109/icma49215.2020.9233835
Tantau M, Perner L, Wielitzka M, Ortmaier T. Backlash Identification in Industrial Positioning Systems aided by a Mobile Accelerometer Board with Wi-Fi. In Gusikhin O, Madani K, Zaytoon J, editors, ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics. 2020. p. 576-584 doi: 10.15488/11505, 10.5220/0009805305760584
Tantau M, Petersen T, Wielitzka M, Ortmaier T. Constrained Design of Multisine Signals for Frequency-domain Identification of Electric Drive Trains. International Federation of Automatic Control (IFAC). 2020;53(2):8750-8756. Epub 2020 Jul 14. doi: 10.15488/10399, 10.1016/j.ifacol.2020.12.1369
Tantau M, Helmke C, Perner L, Wielitzka M. Distinguishability study of 3-Mass Models for Electromechanical Motion Systems. International Journal of Modelling, Identification and Control (IJMIC). 2020;36(3):175-187. 3. doi: 10.15488/11342, 10.1504/IJMIC.2020.116913
Tantau M, Perner L, Wielitzka M, Ortmaier T. Frequency Domain Model Selection for Servo Systems ensuring Practical Identifiability. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020. Beijing, China: IEEE. 2020. p. 735-741. 9233569 doi: 10.15488/10397, 10.1109/ICMA49215.2020.9233569
Tantau M, Popp E, Perner L, Wielitzka M, Ortmaier T. Model Selection ensuring Practical Identifiability for Models of Electric Drives with Coupled Mechanics. International Federation of Automatic Control (IFAC). 2020;53(2):8853-8859. doi: 10.15488/10400, 10.1016/j.ifacol.2020.12.1400
Tantau M, Wielitzka M, Ortmaier T. Multisensor-Configuration for Improved Identifiability and Observability of Electromechanical Motion Systems. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020. Bejing, China. 2020. p. 742-749. 9233630. (IEEE International Conference on Mechatronics and Automation, ICMA 2020). doi: 10.15488/10396, 10.1109/ICMA49215.2020.9233630
Volkmann B, Kaczor D, Tantau M, Schappler M, Ortmaier T. Sensitivity-based Model Reduction for In-Process Identification of Industrial Robots Inverse Dynamics. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020. 2020. p. 912-919. 9233709. (IEEE International Conference on Mechatronics and Automation, ICMA 2020). doi: 10.15488/10355, 10.1109/icma49215.2020.9233709
Ziaukas Z, Busch A, Wielitzka M, Ortmaier T, Kobler JP. Classification of Tire Pressure in a Semitrailer Using a Convolutional Neural Network. In 2020 IEEE International Conference on Mechatronics and Automation (ICMA 2020). Institute of Electrical and Electronics Engineers Inc. 2020. p. 181-185. 9233730. (IEEE International Conference on Mechatronics and Automation (ICMA)). doi: 10.1109/ICMA49215.2020.9233730
Ziaukas Z, Kobler JP, Busch A, Wielitzka M, Ortmaier T. Nonlinear modeling of truck-semitrailer lateral dynamics including experimental validation of lateral tire forces. 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. 1879-1888. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-030-38077-9_213
Eggers K, Ziaukas Z, Kotlarski J, Ortmaier T. On the Relationship of Travel Time and Energy Efficiency of Industrial Robots. In Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018). Atlantis Press SARL. 2019. p. 115-121. (Atlantis Highlights in Engineering). doi: 10.2991/icoiese-18.2019.21
Ehlers SFG, Wright MM, Horowitz R. Neural-attention-based deep learning architectures for modeling traffic dynamics on lane graphs. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC). IEEE. 2019. p. 3898-3905 Epub 2019 Jul 14. doi: https://doi.org/10.48550/arXiv.1904.08831, 10.1109/ITSC.2019.8917174
Ehlers SFG. Traffic Queue Length and Pressure Estimation for Road Networks with Geometric Deep Learning Algorithms. Leibniz Universität Hannover. 2019 May 9. Epub 2019 May 9. doi: https://doi.org/10.48550/arXiv.1905.03889