Publikationen

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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, Hrsg., ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics. 2020. S. 576-584. (ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics).

doi.org/10.15488/11505

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doi.org/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 Jul 13;53(2):8750-8756.

doi.org/10.15488/10399

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doi.org/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.org/10.15488/11342

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doi.org/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. 2020. S. 735-741. 9233569. (2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020).

doi.org/10.15488/10397

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doi.org/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.org/10.15488/10400

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doi.org/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. S. 742-749. 9233630. (2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020).

doi.org/10.15488/10396

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doi.org/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. S. 912-919. 9233709. (2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020).

doi.org/10.15488/10355

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doi.org/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. S. 181-185. 9233730. (IEEE International Conference on Mechatronics and Automation (ICMA)).

doi.org/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, Hrsg., 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. S. 1879-1888. (Lecture Notes in Mechanical Engineering).

doi.org/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. S. 115-121. (Atlantis Highlights in Engineering).

doi.org/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). 2019. S. 3898-3905

doi.org/10.1109/ITSC.2019.8917174

Ehlers SFG. Traffic Queue Length and Pressure Estimation for Road Networks with Geometric Deep Learning Algorithms. 2019.

Popp E, Tantau M, Wielitzka M, Ortmaier T, Giebert D. Frequency domain identification and identifiability analysis of a nonlinear vehicle drivetrain model. in 2019 18th European Control Conference, ECC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. S. 237-242. 8795688

doi.org/10.15488/10817

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doi.org/10.23919/ecc.2019.8795688

Tantau M, Perner L, Wielitzka M, Ortmaier T. Structure and parameter identification of process models with hard non-linearities for industrial drive trains by means of degenerate genetic programming. in Gusikhin O, Madani K, Zaytoon J, Hrsg., ICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics. SciTePress. 2019. S. 368-376. (ICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics).

doi.org/10.5220/0007949003680376

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doi.org/10.15488/10398

Ziaukas Z, Wielitzka M, Ortmaier T, Kobler JP. Simultaneous estimation of steering and articulation angle in a truck-semitrailer combination solely based on trailer signals. in 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. S. 2509-2514. 8814348. (Proceedings of the American Control Conference).

doi.org/10.23919/acc.2019.8814348

Ziaukas Z, Eggers K, Kotlarski J, Ortmaier T. Optimizing PTP motions of industrial robots through addition of via-points. in Gusikhin O, Madani K, Hrsg., ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics. SciTePress. 2017. S. 527-538. (ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics).

doi.org/10.5220/0006396005270538