--- _id: '61492' abstract: - lang: eng text: "This paper deals with the development and results of a prediction framework for traffic light control systems as well as the usage and benefits of such predictions in green light optimal speed advisory (GLOSA) scenarios.\r\nVarious machine learning methods like support vector machines, neural networks or reinforcement learning were evaluated for their applicability in the prediction context and compared based on their efficiency and most importantly accuracy. The resulting prediction framework uses decision tree ensemble models combined with certain model knowledge to forecast different control strategies. This method was chosen due to its best performance in various test scenarios. Very high accuracy and fidelity were achieved for standard control methods like fixed-time, time-of-day-based and 'ordinary' traffic-based programs. Only for the more sophisticated model predictive control which was tested lower accuracies were achieved.\r\nFor the upcoming GLOSA application the penetration of equipped vehicles was varied for different traffic scenarios and control strategies. Results showcase high potentials for enhancing urban mobility and reducing environmental impact by lower emissions and waiting times. However, it is also clear from the studies presented in this contribution that the coordination of the control strategy with the GLOSA vehicles is of enormous importance." author: - first_name: Kevin full_name: Malena, Kevin id: '36303' last_name: Malena orcid: 0000-0003-1183-4679 - first_name: Christopher full_name: Link, Christopher id: '38249' last_name: Link - first_name: Sandra full_name: Gausemeier, Sandra id: '17793' last_name: Gausemeier - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler citation: ama: 'Malena K, Link C, Gausemeier S, Trächtler A. ML-based Prediction Framework for varying Traffic Signal Control Strategies and its GLOSA-application. In: 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC). Vol 28. IEEE.' apa: Malena, K., Link, C., Gausemeier, S., & Trächtler, A. (n.d.). ML-based Prediction Framework for varying Traffic Signal Control Strategies and its GLOSA-application. 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), 28. bibtex: '@inproceedings{Malena_Link_Gausemeier_Trächtler, title={ML-based Prediction Framework for varying Traffic Signal Control Strategies and its GLOSA-application}, volume={28}, booktitle={2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)}, publisher={IEEE}, author={Malena, Kevin and Link, Christopher and Gausemeier, Sandra and Trächtler, Ansgar} }' chicago: Malena, Kevin, Christopher Link, Sandra Gausemeier, and Ansgar Trächtler. “ML-Based Prediction Framework for Varying Traffic Signal Control Strategies and Its GLOSA-Application.” In 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), Vol. 28. IEEE, n.d. ieee: K. Malena, C. Link, S. Gausemeier, and A. Trächtler, “ML-based Prediction Framework for varying Traffic Signal Control Strategies and its GLOSA-application,” in 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), Gold Coast (Australia), vol. 28. mla: Malena, Kevin, et al. “ML-Based Prediction Framework for Varying Traffic Signal Control Strategies and Its GLOSA-Application.” 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), vol. 28, IEEE. short: 'K. Malena, C. Link, S. Gausemeier, A. Trächtler, in: 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), IEEE, n.d.' conference: end_date: 2025-11-21 location: Gold Coast (Australia) name: 28th International Conference on Intelligent Transportation Systems (ITSC) start_date: 2025-11-18 date_created: 2025-10-01T11:20:34Z date_updated: 2026-01-26T08:50:37Z department: - _id: '153' intvolume: ' 28' keyword: - ML - Prediction - Tree Ensembles - GLOSA language: - iso: eng publication: 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC) publication_status: accepted publisher: IEEE quality_controlled: '1' status: public title: ML-based Prediction Framework for varying Traffic Signal Control Strategies and its GLOSA-application type: conference user_id: '36303' volume: 28 year: '2026' ... --- _id: '59088' abstract: - lang: eng text: "This paper deals with the implementation and results of the application of a multi-stage traffic light control system which includes a simulation-based traffic estimation and model predictive control.\r\nThe traffic light control system incorporates a fuzzy system for traffic light phase preselection, followed by a model predictive control to optimise phase combinations and switching times. Predefined phases are selected without restrictions in the order according to a multi-objective optimisation to adapt to the traffic as freely as possible. Initially, the system is tested in simulations and compared with existing methods and analysed afterwards for its effectiveness in a prototype commissioning in field tests. Results indicate high potentials for reducing emissions and waiting times, highlighting the system's value. However, further refinement is necessary for standard implementation. This comprehensive approach demonstrates advancements in traffic management technology, showcasing the potential for enhancing urban mobility and reducing environmental impact." author: - first_name: Kevin full_name: Malena, Kevin id: '36303' last_name: Malena orcid: 0000-0003-1183-4679 - first_name: Christopher full_name: Link, Christopher id: '38249' last_name: Link - first_name: Sandra full_name: Gausemeier, Sandra id: '17793' last_name: Gausemeier - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler citation: ama: 'Malena K, Link C, Gausemeier S, Trächtler A. Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System. In: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). Vol 27. IEEE; 2025. doi:10.1109/itsc58415.2024.10919569' apa: Malena, K., Link, C., Gausemeier, S., & Trächtler, A. (2025). Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 27. https://doi.org/10.1109/itsc58415.2024.10919569 bibtex: '@inproceedings{Malena_Link_Gausemeier_Trächtler_2025, title={Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System}, volume={27}, DOI={10.1109/itsc58415.2024.10919569}, booktitle={2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)}, publisher={IEEE}, author={Malena, Kevin and Link, Christopher and Gausemeier, Sandra and Trächtler, Ansgar}, year={2025} }' chicago: Malena, Kevin, Christopher Link, Sandra Gausemeier, and Ansgar Trächtler. “Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System.” In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Vol. 27. IEEE, 2025. https://doi.org/10.1109/itsc58415.2024.10919569. ieee: 'K. Malena, C. Link, S. Gausemeier, and A. Trächtler, “Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System,” in 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Edmonton (Canada), 2025, vol. 27, doi: 10.1109/itsc58415.2024.10919569.' mla: Malena, Kevin, et al. “Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System.” 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), vol. 27, IEEE, 2025, doi:10.1109/itsc58415.2024.10919569. short: 'K. Malena, C. Link, S. Gausemeier, A. Trächtler, in: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2025.' conference: end_date: 2024-09-27 location: Edmonton (Canada) name: 27th International Conference on Intelligent Transportation Systems (ITSC) start_date: 2024-09-24 date_created: 2025-03-24T08:57:08Z date_updated: 2026-01-26T08:50:46Z department: - _id: '153' doi: 10.1109/itsc58415.2024.10919569 intvolume: ' 27' keyword: - MPC language: - iso: eng publication: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) publication_identifier: issn: - 2153-0017 publication_status: published publisher: IEEE quality_controlled: '1' related_material: link: - relation: confirmation url: https://ieeexplore.ieee.org/document/10919569 status: public title: Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System type: conference user_id: '36303' volume: 27 year: '2025' ... --- _id: '59740' abstract: - lang: eng text: ABSTRACTIn this contribution, we propose an innovative method for determining optimal control sequences for nonlinear systems with partially unknown dynamics, which further expands our previous work. Within the paradigm of model‐based design, the practicality and safety of commissioning feedforward controls and feedback controllers have priority. Our approach leverages probabilistic Gaussian processes to adjust for model inaccuracies from measured system data. This differs from conventional approaches that involve complicated analytical modeling and may entail a substantial time investment to acquire expertise and may prove impractical. Consequently, we address the limitations inherent in traditional design methodologies. Our research focuses on the formulation and solution of the hybrid1 optimal control problem using probabilistic state predictions and multiple shooting. This ensures adaptability, data efficiency, and resilience against uncertainties in system dynamics. These attributes are empirically substantiated through experimental validation on a chaotic and highly sensitive dynamical system—a double pendulum on a cart. Our methodology unfolds as an iterative learning process, systematically exploring diverse controls, accumulating data within each iteration, and refining the control strategy until the desired task is accomplished. The adoption of the two‐degree‐of‐freedom control structure allows for the distinct consideration of the feedforward and the feedback control signal. For the latter, we employ a time‐variant, linear quadratic regulator (LQR) designed to stabilize the system around its target trajectory. Furthermore, we integrate a probabilistic long‐term prediction through the unscented transform, enabling systematic anticipation of safety‐critical violations. Detailed insights into relevant implementation aspects are provided. To ascertain the real‐world applicability, we present an exemplary application involving a double pendulum on a cart. The objective is to bring the pendulum arms from the lower stable to the upper unstable equilibrium by horizontally moving the cart and subsequently stabilize them. In this scenario, we assume that the centrifugal forces, crucial to the system dynamics, have not been accurately modeled and must be learned from data. Solving the control task took only 5 iterations and 1 h of computation time, which surpasses our previous work [2], where we used the purely data‐driven PILCO framework and required 27 iterations and 57 h of computation time. The time of interaction with the system decreased by and the computation time is lowered by . It demonstrates significant practical applicability for commissioning control systems. author: - first_name: Michael full_name: Hesse, Michael id: '29222' last_name: Hesse - first_name: Luis full_name: Schwarzer, Luis last_name: Schwarzer - first_name: Julia full_name: Timmermann, Julia id: '15402' last_name: Timmermann - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler citation: ama: Hesse M, Schwarzer L, Timmermann J, Trächtler A. Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart. PAMM. 2025;25(2). doi:10.1002/pamm.70004 apa: Hesse, M., Schwarzer, L., Timmermann, J., & Trächtler, A. (2025). Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart. PAMM, 25(2). https://doi.org/10.1002/pamm.70004 bibtex: '@article{Hesse_Schwarzer_Timmermann_Trächtler_2025, title={Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart}, volume={25}, DOI={10.1002/pamm.70004}, number={2}, journal={PAMM}, publisher={Wiley}, author={Hesse, Michael and Schwarzer, Luis and Timmermann, Julia and Trächtler, Ansgar}, year={2025} }' chicago: Hesse, Michael, Luis Schwarzer, Julia Timmermann, and Ansgar Trächtler. “Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart.” PAMM 25, no. 2 (2025). https://doi.org/10.1002/pamm.70004. ieee: 'M. Hesse, L. Schwarzer, J. Timmermann, and A. Trächtler, “Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart,” PAMM, vol. 25, no. 2, 2025, doi: 10.1002/pamm.70004.' mla: Hesse, Michael, et al. “Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart.” PAMM, vol. 25, no. 2, Wiley, 2025, doi:10.1002/pamm.70004. short: M. Hesse, L. Schwarzer, J. Timmermann, A. Trächtler, PAMM 25 (2025). date_created: 2025-04-30T08:18:46Z date_updated: 2025-09-03T10:35:24Z department: - _id: '880' - _id: '153' doi: 10.1002/pamm.70004 intvolume: ' 25' issue: '2' language: - iso: eng project: - _id: '690' name: 'DART: Datengetriebene Methoden in der Regelungstechnik' publication: PAMM publication_identifier: issn: - 1617-7061 - 1617-7061 publication_status: published publisher: Wiley status: public title: Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart type: journal_article user_id: '15402' volume: 25 year: '2025' ... --- _id: '61762' abstract: - lang: eng text: "Abstract\r\n In punch-bending, products such as brackets, electronic contacts or spring elements are produced from wire-shaped semi-finished products using separation processes and several successive forming processes. Within the multi-stage straightening and bending processes, cross-stage and quantity-dependent effects have a significant influence on the quality of the end product. In order to optimize the punch-bending process with regard to the resulting component deviations and waste rate, this article presents the concept of a digital twin for an innovative hybrid model of a multi-stage punch-bending process. To ensure efficient development and implementation of the digital twin, the graphical modeling notation DSL4DPiFS is used for additional support. It makes it possible to derive the required interfaces of the Asset Administration Shell of the hybrid data-driven model." author: - first_name: Henning full_name: Peters, Henning last_name: Peters - first_name: Andreas full_name: Mazur, Andreas last_name: Mazur - first_name: Ankit Kumar full_name: Pandey, Ankit Kumar last_name: Pandey - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Barbara full_name: Hammer, Barbara last_name: Hammer - first_name: Werner full_name: Homberg, Werner id: '233' last_name: Homberg citation: ama: Peters H, Mazur A, Pandey AK, Trächtler A, Hammer B, Homberg W. Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation. at - Automatisierungstechnik. 2025;73(3):173-184. doi:10.1515/auto-2024-0112 apa: Peters, H., Mazur, A., Pandey, A. K., Trächtler, A., Hammer, B., & Homberg, W. (2025). Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation. At - Automatisierungstechnik, 73(3), 173–184. https://doi.org/10.1515/auto-2024-0112 bibtex: '@article{Peters_Mazur_Pandey_Trächtler_Hammer_Homberg_2025, title={Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation}, volume={73}, DOI={10.1515/auto-2024-0112}, number={3}, journal={at - Automatisierungstechnik}, publisher={Walter de Gruyter GmbH}, author={Peters, Henning and Mazur, Andreas and Pandey, Ankit Kumar and Trächtler, Ansgar and Hammer, Barbara and Homberg, Werner}, year={2025}, pages={173–184} }' chicago: 'Peters, Henning, Andreas Mazur, Ankit Kumar Pandey, Ansgar Trächtler, Barbara Hammer, and Werner Homberg. “Development of a Digital Twin for Data-Driven Modeling of Punch-Bending Processes Using a Graphical Modeling Notation.” At - Automatisierungstechnik 73, no. 3 (2025): 173–84. https://doi.org/10.1515/auto-2024-0112.' ieee: 'H. Peters, A. Mazur, A. K. Pandey, A. Trächtler, B. Hammer, and W. Homberg, “Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation,” at - Automatisierungstechnik, vol. 73, no. 3, pp. 173–184, 2025, doi: 10.1515/auto-2024-0112.' mla: Peters, Henning, et al. “Development of a Digital Twin for Data-Driven Modeling of Punch-Bending Processes Using a Graphical Modeling Notation.” At - Automatisierungstechnik, vol. 73, no. 3, Walter de Gruyter GmbH, 2025, pp. 173–84, doi:10.1515/auto-2024-0112. short: H. Peters, A. Mazur, A.K. Pandey, A. Trächtler, B. Hammer, W. Homberg, At - Automatisierungstechnik 73 (2025) 173–184. date_created: 2025-10-08T16:10:34Z date_updated: 2025-10-30T12:49:49Z department: - _id: '153' - _id: '241' - _id: '156' doi: 10.1515/auto-2024-0112 intvolume: ' 73' issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1515/auto-2024-0112 oa: '1' page: 173-184 publication: at - Automatisierungstechnik publication_identifier: issn: - 0178-2312 - 2196-677X publication_status: published publisher: Walter de Gruyter GmbH status: public title: Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation type: journal_article user_id: '82875' volume: 73 year: '2025' ... --- _id: '61763' abstract: - lang: eng text: Abstract. Within the punch-bending process semi-finished products of strip or wire material are formed and punched in several subsequent steps into a finished product like brackets, mounts, contacts or spring elements. In the context of those multi-stage straightening and bending processes, cross-stage and quantity-dependent effects significantly leads to undesired component deviations. To optimize the punch-bending process with regard to these component deviations and thus the waste rate, the concept of a hybrid data-driven model is presented. To automatically acquire and process this hybrid data while also enable the usage by multiple clients, a digital twin has to be developed. In this paper the communication infrastructure between the punch-bending system and the digital twin is presented, using the Asset Administration Shell as specification. This automated communication is validated using exemplary data from the punch-bending system. author: - first_name: Henning full_name: Peters, Henning last_name: Peters - first_name: Andreas full_name: Mazur, Andreas last_name: Mazur - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Barbara full_name: Hammer, Barbara last_name: Hammer citation: ama: 'Peters H, Mazur A, Trächtler A, Hammer B. Integration of a digital twin for data-driven modeling of punch-bending processes using the asset administration shell. In: Materials Research Proceedings. Vol 54. Materials Research Forum LLC; 2025. doi:10.21741/9781644903599-166' apa: Peters, H., Mazur, A., Trächtler, A., & Hammer, B. (2025). Integration of a digital twin for data-driven modeling of punch-bending processes using the asset administration shell. Materials Research Proceedings, 54. https://doi.org/10.21741/9781644903599-166 bibtex: '@inproceedings{Peters_Mazur_Trächtler_Hammer_2025, title={Integration of a digital twin for data-driven modeling of punch-bending processes using the asset administration shell}, volume={54}, DOI={10.21741/9781644903599-166}, booktitle={Materials Research Proceedings}, publisher={Materials Research Forum LLC}, author={Peters, Henning and Mazur, Andreas and Trächtler, Ansgar and Hammer, Barbara}, year={2025} }' chicago: Peters, Henning, Andreas Mazur, Ansgar Trächtler, and Barbara Hammer. “Integration of a Digital Twin for Data-Driven Modeling of Punch-Bending Processes Using the Asset Administration Shell.” In Materials Research Proceedings, Vol. 54. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903599-166. ieee: 'H. Peters, A. Mazur, A. Trächtler, and B. Hammer, “Integration of a digital twin for data-driven modeling of punch-bending processes using the asset administration shell,” in Materials Research Proceedings, 2025, vol. 54, doi: 10.21741/9781644903599-166.' mla: Peters, Henning, et al. “Integration of a Digital Twin for Data-Driven Modeling of Punch-Bending Processes Using the Asset Administration Shell.” Materials Research Proceedings, vol. 54, Materials Research Forum LLC, 2025, doi:10.21741/9781644903599-166. short: 'H. Peters, A. Mazur, A. Trächtler, B. Hammer, in: Materials Research Proceedings, Materials Research Forum LLC, 2025.' date_created: 2025-10-08T16:11:24Z date_updated: 2025-10-30T12:51:26Z department: - _id: '153' - _id: '241' doi: 10.21741/9781644903599-166 intvolume: ' 54' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.21741/9781644903599-166 oa: '1' publication: Materials Research Proceedings publication_identifier: issn: - 2474-395X publication_status: published publisher: Materials Research Forum LLC status: public title: Integration of a digital twin for data-driven modeling of punch-bending processes using the asset administration shell type: conference user_id: '82875' volume: 54 year: '2025' ... --- _id: '61761' abstract: - lang: eng text: "Abstract\r\n Data-driven methods are increasingly utilized in metal forming processes for monitoring and quality optimization. An adapted modeling notation DSL4DPiFS for forming processes is presented to model hardware, software, and data flow aspects to support the design and analysis of data-driven methods. DSL4DPiFS enables metal forming and automation experts to model field-level information as data sources, and the data sinks for data analysis. The notation was adapted to the requirements of selected metal forming processes and evaluated in three case studies." author: - first_name: Birgit full_name: Vogel-Heuser, Birgit last_name: Vogel-Heuser - first_name: Mingxi full_name: Zhang, Mingxi last_name: Zhang - first_name: Marius full_name: Krüger, Marius last_name: Krüger - first_name: Alejandra full_name: Vicaria, Alejandra last_name: Vicaria - first_name: Markus full_name: Gardill, Markus last_name: Gardill - first_name: Yuyao full_name: Jiang, Yuyao last_name: Jiang - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Henning full_name: Peters, Henning last_name: Peters - first_name: Mathias full_name: Liewald, Mathias last_name: Liewald - first_name: Adrian full_name: Schenek, Adrian last_name: Schenek - first_name: Pascal full_name: Heinzelmann, Pascal last_name: Heinzelmann - first_name: Michael full_name: Weyrich, Michael last_name: Weyrich citation: ama: Vogel-Heuser B, Zhang M, Krüger M, et al. DSL4DPiFS – a graphical notation to model data pipeline deployment in forming systems. at - Automatisierungstechnik. 2025;73(4):232-250. doi:10.1515/auto-2024-0114 apa: Vogel-Heuser, B., Zhang, M., Krüger, M., Vicaria, A., Gardill, M., Jiang, Y., Trächtler, A., Peters, H., Liewald, M., Schenek, A., Heinzelmann, P., & Weyrich, M. (2025). DSL4DPiFS – a graphical notation to model data pipeline deployment in forming systems. At - Automatisierungstechnik, 73(4), 232–250. https://doi.org/10.1515/auto-2024-0114 bibtex: '@article{Vogel-Heuser_Zhang_Krüger_Vicaria_Gardill_Jiang_Trächtler_Peters_Liewald_Schenek_et al._2025, title={DSL4DPiFS – a graphical notation to model data pipeline deployment in forming systems}, volume={73}, DOI={10.1515/auto-2024-0114}, number={4}, journal={at - Automatisierungstechnik}, publisher={Walter de Gruyter GmbH}, author={Vogel-Heuser, Birgit and Zhang, Mingxi and Krüger, Marius and Vicaria, Alejandra and Gardill, Markus and Jiang, Yuyao and Trächtler, Ansgar and Peters, Henning and Liewald, Mathias and Schenek, Adrian and et al.}, year={2025}, pages={232–250} }' chicago: 'Vogel-Heuser, Birgit, Mingxi Zhang, Marius Krüger, Alejandra Vicaria, Markus Gardill, Yuyao Jiang, Ansgar Trächtler, et al. “DSL4DPiFS – a Graphical Notation to Model Data Pipeline Deployment in Forming Systems.” At - Automatisierungstechnik 73, no. 4 (2025): 232–50. https://doi.org/10.1515/auto-2024-0114.' ieee: 'B. Vogel-Heuser et al., “DSL4DPiFS – a graphical notation to model data pipeline deployment in forming systems,” at - Automatisierungstechnik, vol. 73, no. 4, pp. 232–250, 2025, doi: 10.1515/auto-2024-0114.' mla: Vogel-Heuser, Birgit, et al. “DSL4DPiFS – a Graphical Notation to Model Data Pipeline Deployment in Forming Systems.” At - Automatisierungstechnik, vol. 73, no. 4, Walter de Gruyter GmbH, 2025, pp. 232–50, doi:10.1515/auto-2024-0114. short: B. Vogel-Heuser, M. Zhang, M. Krüger, A. Vicaria, M. Gardill, Y. Jiang, A. Trächtler, H. Peters, M. Liewald, A. Schenek, P. Heinzelmann, M. Weyrich, At - Automatisierungstechnik 73 (2025) 232–250. date_created: 2025-10-08T16:09:21Z date_updated: 2025-10-30T12:48:48Z department: - _id: '153' - _id: '241' doi: 10.1515/auto-2024-0114 intvolume: ' 73' issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1515/auto-2024-0114 oa: '1' page: 232-250 publication: at - Automatisierungstechnik publication_identifier: issn: - 0178-2312 - 2196-677X publication_status: published publisher: Walter de Gruyter GmbH status: public title: DSL4DPiFS – a graphical notation to model data pipeline deployment in forming systems type: journal_article user_id: '82875' volume: 73 year: '2025' ... --- _id: '61765' author: - first_name: Andreas full_name: Mazur, Andreas last_name: Mazur - first_name: Henning full_name: Peters, Henning last_name: Peters - first_name: André full_name: Artelt, André last_name: Artelt - first_name: Lukas full_name: Koller, Lukas last_name: Koller - first_name: Christoph full_name: Hartmann, Christoph last_name: Hartmann - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Barbara full_name: Hammer, Barbara last_name: Hammer citation: ama: 'Mazur A, Peters H, Artelt A, et al. Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals. In: Lecture Notes in Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-04555-3_16' apa: Mazur, A., Peters, H., Artelt, A., Koller, L., Hartmann, C., Trächtler, A., & Hammer, B. (2025). Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-04555-3_16 bibtex: '@inbook{Mazur_Peters_Artelt_Koller_Hartmann_Trächtler_Hammer_2025, place={Cham}, title={Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals}, DOI={10.1007/978-3-032-04555-3_16}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Mazur, Andreas and Peters, Henning and Artelt, André and Koller, Lukas and Hartmann, Christoph and Trächtler, Ansgar and Hammer, Barbara}, year={2025} }' chicago: 'Mazur, Andreas, Henning Peters, André Artelt, Lukas Koller, Christoph Hartmann, Ansgar Trächtler, and Barbara Hammer. “Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals.” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-04555-3_16.' ieee: 'A. Mazur et al., “Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2025.' mla: Mazur, Andreas, et al. “Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals.” Lecture Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-04555-3_16. short: 'A. Mazur, H. Peters, A. Artelt, L. Koller, C. Hartmann, A. Trächtler, B. Hammer, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.' date_created: 2025-10-08T16:12:14Z date_updated: 2025-10-30T12:49:25Z department: - _id: '153' - _id: '241' doi: 10.1007/978-3-032-04555-3_16 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1007/978-3-032-04555-3_16 oa: '1' place: Cham publication: Lecture Notes in Computer Science publication_identifier: isbn: - '9783032045546' - '9783032045553' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer Nature Switzerland status: public title: Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals type: book_chapter user_id: '82875' year: '2025' ... --- _id: '59907' abstract: - lang: eng text: Abstract. Flow forming is recognized for its precision in producing rotationally symmetric components, but the use of metastable austenitic stainless steel (AISI 304L) introduces challenges due to uncontrolled strain-induced α’ martensite formation. Variations in factors such as eccentricity and batch inconsistencies lead to unpredictable microstructural profiles, limiting reproducibility [1,2]. This study addresses these issues by incorporating thermal actuators for cryogenic cooling and induction heating to regulate forming temperatures, enabling control of the α’-martensite content. Experimental investigations demonstrate that local tempering during thermomechanical reverse flow forming produces discernible variations in microstructure, affecting mechanical and magnetic properties [3]. Controlled local adjustments of α’-martensite content allow for customization of properties in seamless tubes, advancing manufacturing capabilities for complex, defect-free components. The results presented demonstrate promising strategies for implementation within the context of closed-loop property control in flow forming. author: - first_name: Bahman full_name: Arian, Bahman id: '36287' last_name: Arian - first_name: Werner full_name: Homberg, Werner id: '233' last_name: Homberg - first_name: Lukas full_name: Kersting, Lukas last_name: Kersting - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Julian full_name: Rozo Vasquez, Julian last_name: Rozo Vasquez - first_name: Frank full_name: Walther, Frank last_name: Walther citation: ama: 'Arian B, Homberg W, Kersting L, Trächtler A, Rozo Vasquez J, Walther F. Advanced thermomechanical flow forming: A novel approach to α’-martensite control for enhanced material properties. In: Carlone P, Filice L, Umbrello D, eds. Materials Research Proceedings. Vol 54. Materials Research Forum LLC; 2025. doi:10.21741/9781644903599-127' apa: 'Arian, B., Homberg, W., Kersting, L., Trächtler, A., Rozo Vasquez, J., & Walther, F. (2025). Advanced thermomechanical flow forming: A novel approach to α’-martensite control for enhanced material properties. In P. Carlone, L. Filice, & D. Umbrello (Eds.), Materials Research Proceedings (Vol. 54). Materials Research Forum LLC. https://doi.org/10.21741/9781644903599-127' bibtex: '@inproceedings{Arian_Homberg_Kersting_Trächtler_Rozo Vasquez_Walther_2025, title={Advanced thermomechanical flow forming: A novel approach to α’-martensite control for enhanced material properties}, volume={54}, DOI={10.21741/9781644903599-127}, booktitle={Materials Research Proceedings}, publisher={Materials Research Forum LLC}, author={Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler, Ansgar and Rozo Vasquez, Julian and Walther, Frank}, editor={Carlone, Pierpaolo and Filice, Luigino and Umbrello, Domenico}, year={2025} }' chicago: 'Arian, Bahman, Werner Homberg, Lukas Kersting, Ansgar Trächtler, Julian Rozo Vasquez, and Frank Walther. “Advanced Thermomechanical Flow Forming: A Novel Approach to α’-Martensite Control for Enhanced Material Properties.” In Materials Research Proceedings, edited by Pierpaolo Carlone, Luigino Filice, and Domenico Umbrello, Vol. 54. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903599-127.' ieee: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, and F. Walther, “Advanced thermomechanical flow forming: A novel approach to α’-martensite control for enhanced material properties,” in Materials Research Proceedings, Paestum, Italy, 2025, vol. 54, doi: 10.21741/9781644903599-127.' mla: 'Arian, Bahman, et al. “Advanced Thermomechanical Flow Forming: A Novel Approach to α’-Martensite Control for Enhanced Material Properties.” Materials Research Proceedings, edited by Pierpaolo Carlone et al., vol. 54, Materials Research Forum LLC, 2025, doi:10.21741/9781644903599-127.' short: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, F. Walther, in: P. Carlone, L. Filice, D. Umbrello (Eds.), Materials Research Proceedings, Materials Research Forum LLC, 2025.' conference: end_date: 2025-05-09 location: Paestum, Italy name: The 28th International ESAFORM Conference on Material Forming - ESAFORM 2025 start_date: 2025-05-06 date_created: 2025-05-15T06:59:28Z date_updated: 2025-10-30T13:55:08Z department: - _id: '156' - _id: '153' - _id: '241' doi: 10.21741/9781644903599-127 editor: - first_name: Pierpaolo full_name: Carlone, Pierpaolo last_name: Carlone - first_name: Luigino full_name: Filice, Luigino last_name: Filice - first_name: Domenico full_name: Umbrello, Domenico last_name: Umbrello has_accepted_license: '1' intvolume: ' 54' keyword: - Flow Forming - Thermomechanical Forming - α’-Martensite - Property Control language: - iso: eng main_file_link: - open_access: '1' url: https://mrforum.com/product/9781644903599-127/ oa: '1' publication: Materials Research Proceedings publication_identifier: issn: - 2474-395X publication_status: published publisher: Materials Research Forum LLC quality_controlled: '1' status: public title: 'Advanced thermomechanical flow forming: A novel approach to α’-martensite control for enhanced material properties' type: conference user_id: '36287' volume: 54 year: '2025' ... --- _id: '62024' abstract: - lang: eng text: "Abstract\r\n This paper presents a characterization of the microstructural evolution and its correlation with the magnetic structure due to flow forming of semi-finished tubes of austenitic stainless steel AISI 304L. The plastic deformation triggers a phase transformation of the metastable austenite into α’-martensite.\r\n Depending on the combination of production parameters, different fractions of strain-induced α’-martensite were measured by means non-destructive micromagnetic techniques and correlated with the evolution of hardness and the microstructure using electron backscatter diffraction analyses. The magneto-optical Kerr effect analysis was used as a tool to perform a qualitative analysis of the evolution of the magnetic domain structure correlated with the formation of α’-martensite. An analysis of these data allowed to derive surface magnetization hysteresis loops that were compared with integral hysteresis loops of the specimens. It was proven by both methods that the formation of martensite increases the magnetic energy and the spontaneous magnetization of the specimens. The results of this investigation contribute to a better understanding of micromagnetic sensors to monitor and control the formation of α’-martensite in a flow forming. Furthermore, various techniques have demonstrated the evolution of the magnetic properties of the material, which can be applied in applications for invisible coding of workpieces." author: - first_name: Julian full_name: Rozo Vasquez, Julian last_name: Rozo Vasquez - first_name: Jan full_name: Tappe, Jan last_name: Tappe - first_name: Bahman full_name: Arian, Bahman id: '36287' last_name: Arian - first_name: Lukas full_name: Kersting, Lukas last_name: Kersting - first_name: Werner full_name: Homberg, Werner id: '233' last_name: Homberg - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Frank full_name: Walther, Frank last_name: Walther citation: ama: Rozo Vasquez J, Tappe J, Arian B, et al. Magneto-optical Kerr effect analysis of strain-induced martensite formation during flow forming of metastable austenitic steel AISI 304L. Practical Metallography. 2025;62(9-10):617-633. doi:10.1515/pm-2025-0059 apa: Rozo Vasquez, J., Tappe, J., Arian, B., Kersting, L., Homberg, W., Trächtler, A., & Walther, F. (2025). Magneto-optical Kerr effect analysis of strain-induced martensite formation during flow forming of metastable austenitic steel AISI 304L. Practical Metallography, 62(9–10), 617–633. https://doi.org/10.1515/pm-2025-0059 bibtex: '@article{Rozo Vasquez_Tappe_Arian_Kersting_Homberg_Trächtler_Walther_2025, title={Magneto-optical Kerr effect analysis of strain-induced martensite formation during flow forming of metastable austenitic steel AISI 304L}, volume={62}, DOI={10.1515/pm-2025-0059}, number={9–10}, journal={Practical Metallography}, publisher={Walter de Gruyter GmbH}, author={Rozo Vasquez, Julian and Tappe, Jan and Arian, Bahman and Kersting, Lukas and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}, year={2025}, pages={617–633} }' chicago: 'Rozo Vasquez, Julian, Jan Tappe, Bahman Arian, Lukas Kersting, Werner Homberg, Ansgar Trächtler, and Frank Walther. “Magneto-Optical Kerr Effect Analysis of Strain-Induced Martensite Formation during Flow Forming of Metastable Austenitic Steel AISI 304L.” Practical Metallography 62, no. 9–10 (2025): 617–33. https://doi.org/10.1515/pm-2025-0059.' ieee: 'J. Rozo Vasquez et al., “Magneto-optical Kerr effect analysis of strain-induced martensite formation during flow forming of metastable austenitic steel AISI 304L,” Practical Metallography, vol. 62, no. 9–10, pp. 617–633, 2025, doi: 10.1515/pm-2025-0059.' mla: Rozo Vasquez, Julian, et al. “Magneto-Optical Kerr Effect Analysis of Strain-Induced Martensite Formation during Flow Forming of Metastable Austenitic Steel AISI 304L.” Practical Metallography, vol. 62, no. 9–10, Walter de Gruyter GmbH, 2025, pp. 617–33, doi:10.1515/pm-2025-0059. short: J. Rozo Vasquez, J. Tappe, B. Arian, L. Kersting, W. Homberg, A. Trächtler, F. Walther, Practical Metallography 62 (2025) 617–633. date_created: 2025-10-30T12:22:54Z date_updated: 2025-10-30T12:54:17Z department: - _id: '153' - _id: '241' - _id: '156' doi: 10.1515/pm-2025-0059 intvolume: ' 62' issue: 9-10 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1515/pm-2025-0059 oa: '1' page: 617-633 publication: Practical Metallography publication_identifier: issn: - 2195-8599 - 0032-678X publication_status: published publisher: Walter de Gruyter GmbH status: public title: Magneto-optical Kerr effect analysis of strain-induced martensite formation during flow forming of metastable austenitic steel AISI 304L type: journal_article user_id: '82875' volume: 62 year: '2025' ... --- _id: '62022' abstract: - lang: eng text: Abstract. The incremental flow forming process features a large number of process parameter combinations that can be varied from pass to pass or during a pass. In the future however, a more efficient utilization of this large number of process parameter combinations and a compensation of process disturbances could be required. This is due to a rising demand for increasing the part complexity, e.g. by graded property structures or a more complex geometry. In this context, innovative approaches like closed-loop property control and optimal control are advantageous, but require fast process models of flow forming that are not state of the art. This paper thus proposes a new modelling approach of multi-pass flow forming especially taking the transfer behavior between process parameters and wall thickness evolution from pass to pass into focus. A hybrid modelling approach is developed that combines knowledge about the incremental process character with empirical data regression to a basic analytic relation. The basic relation is further extended by a multi-layer neural network to enhance the overall model accuracy. This hybrid modelling approach is finally validated using experimental data. Thus, it is shown that a suitable model structure was found in context of a future closed-loop control or optimal control for multi-pass flow forming. author: - first_name: Lukas full_name: Kersting, Lukas last_name: Kersting - first_name: Sharin Kumar full_name: Gunasagran, Sharin Kumar last_name: Gunasagran - first_name: Bahman full_name: Arian, Bahman id: '36287' last_name: Arian - first_name: Julian full_name: Rozo Vaszquez, Julian last_name: Rozo Vaszquez - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Werner full_name: Homberg, Werner id: '233' last_name: Homberg - first_name: Frank full_name: Walther, Frank last_name: Walther citation: ama: 'Kersting L, Gunasagran SK, Arian B, et al. Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model. In: Materials Research Proceedings. Vol 54. Materials Research Forum LLC; 2025. doi:10.21741/9781644903599-140' apa: Kersting, L., Gunasagran, S. K., Arian, B., Rozo Vaszquez, J., Trächtler, A., Homberg, W., & Walther, F. (2025). Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model. Materials Research Proceedings, 54. https://doi.org/10.21741/9781644903599-140 bibtex: '@inproceedings{Kersting_Gunasagran_Arian_Rozo Vaszquez_Trächtler_Homberg_Walther_2025, title={Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model}, volume={54}, DOI={10.21741/9781644903599-140}, booktitle={Materials Research Proceedings}, publisher={Materials Research Forum LLC}, author={Kersting, Lukas and Gunasagran, Sharin Kumar and Arian, Bahman and Rozo Vaszquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}, year={2025} }' chicago: Kersting, Lukas, Sharin Kumar Gunasagran, Bahman Arian, Julian Rozo Vaszquez, Ansgar Trächtler, Werner Homberg, and Frank Walther. “Real-Time Modelling of Incremental Multi-Pass Flow Forming by a Hybrid, Data-Based Model.” In Materials Research Proceedings, Vol. 54. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903599-140. ieee: 'L. Kersting et al., “Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model,” in Materials Research Proceedings, 2025, vol. 54, doi: 10.21741/9781644903599-140.' mla: Kersting, Lukas, et al. “Real-Time Modelling of Incremental Multi-Pass Flow Forming by a Hybrid, Data-Based Model.” Materials Research Proceedings, vol. 54, Materials Research Forum LLC, 2025, doi:10.21741/9781644903599-140. short: 'L. Kersting, S.K. Gunasagran, B. Arian, J. Rozo Vaszquez, A. Trächtler, W. Homberg, F. Walther, in: Materials Research Proceedings, Materials Research Forum LLC, 2025.' date_created: 2025-10-30T12:16:37Z date_updated: 2025-10-30T12:53:36Z department: - _id: '153' - _id: '241' - _id: '156' doi: 10.21741/9781644903599-140 intvolume: ' 54' language: - iso: eng main_file_link: - open_access: '1' url: 'https://doi.org/10.21741/9781644903599-140 ' oa: '1' publication: Materials Research Proceedings publication_identifier: issn: - 2474-395X publication_status: published publisher: Materials Research Forum LLC status: public title: Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model type: conference user_id: '82875' volume: 54 year: '2025' ... --- _id: '62023' abstract: - lang: eng text: "Zusammenfassung\r\n Die Eigenschaftsregelung mit einer online-Messung der Bauteileigenschaften ist ein in der Umformtechnik viel diskutiertes, aber kaum validiertes Konzept, um den Automatisierungsgrad bei der Bauteilfertigung weiter zu erhöhen. Dieser Artikel soll helfen, die Lücke beispielhaft für den Fertigungsprozess des Drückwalzens metastabiler Austenite zu schließen. Der metastabile austenitische Edelstahl ändert hierbei während der Verformung seinen α′-Martensitgehalt und damit verbunden die magnetischen Eigenschaften. Deshalb soll über die Regelung das definierte Einstellen des α′-Martensitgehaltes möglich werden. Im Rahmen des vorliegenden Artikels wird gezeigt, wie mittels des modellbasierten Entwurfs die Eigenschaftsregelung ausgelegt und parametriert werden kann. Zudem beinhaltet der Artikel experimentelle Validierungsergebnisse der zuvor entworfenen Eigenschaftsregelung." author: - first_name: Lukas full_name: Kersting, Lukas last_name: Kersting - first_name: Bahman full_name: Arian, Bahman id: '36287' last_name: Arian - first_name: Julian full_name: Rozo Vasquez, Julian last_name: Rozo Vasquez - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Werner full_name: Homberg, Werner id: '233' last_name: Homberg - first_name: Frank full_name: Walther, Frank last_name: Walther citation: ama: Kersting L, Arian B, Rozo Vasquez J, Trächtler A, Homberg W, Walther F. Modellbasierter Entwurf und Validierung einer Eigenschaftsregelung für das Drückwalzen metastabiler Austenite. at - Automatisierungstechnik. 2025;73(7):527-540. doi:10.1515/auto-2024-0127 apa: Kersting, L., Arian, B., Rozo Vasquez, J., Trächtler, A., Homberg, W., & Walther, F. (2025). Modellbasierter Entwurf und Validierung einer Eigenschaftsregelung für das Drückwalzen metastabiler Austenite. At - Automatisierungstechnik, 73(7), 527–540. https://doi.org/10.1515/auto-2024-0127 bibtex: '@article{Kersting_Arian_Rozo Vasquez_Trächtler_Homberg_Walther_2025, title={Modellbasierter Entwurf und Validierung einer Eigenschaftsregelung für das Drückwalzen metastabiler Austenite}, volume={73}, DOI={10.1515/auto-2024-0127}, number={7}, journal={at - Automatisierungstechnik}, publisher={Walter de Gruyter GmbH}, author={Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}, year={2025}, pages={527–540} }' chicago: 'Kersting, Lukas, Bahman Arian, Julian Rozo Vasquez, Ansgar Trächtler, Werner Homberg, and Frank Walther. “Modellbasierter Entwurf Und Validierung Einer Eigenschaftsregelung Für Das Drückwalzen Metastabiler Austenite.” At - Automatisierungstechnik 73, no. 7 (2025): 527–40. https://doi.org/10.1515/auto-2024-0127.' ieee: 'L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, and F. Walther, “Modellbasierter Entwurf und Validierung einer Eigenschaftsregelung für das Drückwalzen metastabiler Austenite,” at - Automatisierungstechnik, vol. 73, no. 7, pp. 527–540, 2025, doi: 10.1515/auto-2024-0127.' mla: Kersting, Lukas, et al. “Modellbasierter Entwurf Und Validierung Einer Eigenschaftsregelung Für Das Drückwalzen Metastabiler Austenite.” At - Automatisierungstechnik, vol. 73, no. 7, Walter de Gruyter GmbH, 2025, pp. 527–40, doi:10.1515/auto-2024-0127. short: L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, F. Walther, At - Automatisierungstechnik 73 (2025) 527–540. date_created: 2025-10-30T12:21:42Z date_updated: 2025-10-30T12:53:56Z department: - _id: '153' - _id: '241' - _id: '156' doi: 10.1515/auto-2024-0127 intvolume: ' 73' issue: '7' language: - iso: eng main_file_link: - open_access: '1' url: 'https://doi.org/10.1515/auto-2024-0127 ' oa: '1' page: 527-540 publication: at - Automatisierungstechnik publication_identifier: issn: - 0178-2312 - 2196-677X publication_status: published publisher: Walter de Gruyter GmbH status: public title: Modellbasierter Entwurf und Validierung einer Eigenschaftsregelung für das Drückwalzen metastabiler Austenite type: journal_article user_id: '82875' volume: 73 year: '2025' ... --- _id: '62021' author: - first_name: Lukas full_name: Kersting, Lukas last_name: Kersting - first_name: Bahman full_name: Arian, Bahman id: '36287' last_name: Arian - first_name: Julian full_name: Rozo Vasquez, Julian last_name: Rozo Vasquez - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Werner full_name: Homberg, Werner id: '233' last_name: Homberg - first_name: Frank full_name: Walther, Frank last_name: Walther citation: ama: Kersting L, Arian B, Rozo Vasquez J, Trächtler A, Homberg W, Walther F. State-space modelling approach for control and observer design in property-controlled reverse flow forming. IFAC-PapersOnLine. 2025;59(1):109-114. doi:10.1016/j.ifacol.2025.03.020 apa: Kersting, L., Arian, B., Rozo Vasquez, J., Trächtler, A., Homberg, W., & Walther, F. (2025). State-space modelling approach for control and observer design in property-controlled reverse flow forming. IFAC-PapersOnLine, 59(1), 109–114. https://doi.org/10.1016/j.ifacol.2025.03.020 bibtex: '@article{Kersting_Arian_Rozo Vasquez_Trächtler_Homberg_Walther_2025, title={State-space modelling approach for control and observer design in property-controlled reverse flow forming}, volume={59}, DOI={10.1016/j.ifacol.2025.03.020}, number={1}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}, year={2025}, pages={109–114} }' chicago: 'Kersting, Lukas, Bahman Arian, Julian Rozo Vasquez, Ansgar Trächtler, Werner Homberg, and Frank Walther. “State-Space Modelling Approach for Control and Observer Design in Property-Controlled Reverse Flow Forming.” IFAC-PapersOnLine 59, no. 1 (2025): 109–14. https://doi.org/10.1016/j.ifacol.2025.03.020.' ieee: 'L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, and F. Walther, “State-space modelling approach for control and observer design in property-controlled reverse flow forming,” IFAC-PapersOnLine, vol. 59, no. 1, pp. 109–114, 2025, doi: 10.1016/j.ifacol.2025.03.020.' mla: Kersting, Lukas, et al. “State-Space Modelling Approach for Control and Observer Design in Property-Controlled Reverse Flow Forming.” IFAC-PapersOnLine, vol. 59, no. 1, Elsevier BV, 2025, pp. 109–14, doi:10.1016/j.ifacol.2025.03.020. short: L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, F. Walther, IFAC-PapersOnLine 59 (2025) 109–114. date_created: 2025-10-30T12:14:01Z date_updated: 2025-10-30T12:53:16Z department: - _id: '153' - _id: '241' - _id: '156' doi: 10.1016/j.ifacol.2025.03.020 intvolume: ' 59' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: 'https://doi.org/10.1016/j.ifacol.2025.03.020 ' oa: '1' page: 109-114 publication: IFAC-PapersOnLine publication_identifier: issn: - 2405-8963 publication_status: published publisher: Elsevier BV status: public title: State-space modelling approach for control and observer design in property-controlled reverse flow forming type: journal_article user_id: '82875' volume: 59 year: '2025' ... --- _id: '61427' abstract: - lang: eng text: "The carbon footprint of modern vehicles and their mechatronic systems is more\r\nimportant than ever. Research by the publicly funded Nalyses project and the HELLA\r\ncompany shows that the headlamps use phase makes a significant contribution to the life\r\ncycle footprint taking into account the current electricity mix [1]. Today, functionalities\r\nsuch as adaptive curve light or glare-free high beam ensure comfort and safety by\r\nassessing the state of the vehicle and evaluating the driving scenario ahead. In future,\r\nthis evaluation will be expanded and used to adapt the headlamp to the driving scenario\r\nin such a way that as little light as possible is emitted, but as much light as necessary. In\r\norder to achieve this goal, an overall evaluation of the regulatory compliant energy\r\nsaving potential is crucial in a first step and leads to constraints for a dynamic adaption\r\nwhile driving. In this paper, the potential is illustrated by evaluating UNECE Regulation\r\nNo. 149 and optimizing luminous intensity distributions. Depending on the different\r\nresolutions of matrix LED headlamps, this approach can result in a significantly lower\r\nluminous flux. On the other hand, the results are point-like distributions that raise the\r\nquestion of whether the regulation still provides for sensible minimum requirements for\r\nmodern matrix LED headlamps. The results are further presented in a simulated virtual\r\nenvironment with regard to the resulting luminance in different driving scenarios. We\r\nthen present an approach to integrate regulatory requirements into a control algorithm by\r\nsetting optimization constraints and saturating the control. Finally, we classify the found\r\nluminous intensity distributions qualitatively according to common lighting criteria. In summary, although the investigated minimum distributions are by no means desirable\r\nfor drivers themselves, they form the basis on which energy-saving distributions for\r\nilluminated areas and twilight scenarios could be adaptively controlled in the future." author: - first_name: Niklas full_name: Fittkau, Niklas id: '69890' last_name: Fittkau orcid: 0009-0007-1281-4465 - first_name: Leon full_name: Bußemas, Leon id: '51118' last_name: Bußemas - first_name: Kevin full_name: Malena, Kevin id: '36303' last_name: Malena orcid: 0000-0003-1183-4679 - first_name: Sandra full_name: Gausemeier, Sandra id: '17793' last_name: Gausemeier - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler citation: ama: 'Fittkau N, Bußemas L, Malena K, Gausemeier S, Trächtler A. Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps. In: Proceedings of the 16th International Symposium on Automotive Lighting 2025. ; 2025. doi:10.26083/tuprints-00030840' apa: Fittkau, N., Bußemas, L., Malena, K., Gausemeier, S., & Trächtler, A. (2025). Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps. Proceedings of the 16th International Symposium on Automotive Lighting 2025. 16th International Symposium on Automotive Lighting, Darmstadt. https://doi.org/10.26083/tuprints-00030840 bibtex: '@inproceedings{Fittkau_Bußemas_Malena_Gausemeier_Trächtler_2025, place={Darmstadt}, title={Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps}, DOI={10.26083/tuprints-00030840}, booktitle={Proceedings of the 16th International Symposium on Automotive Lighting 2025}, author={Fittkau, Niklas and Bußemas, Leon and Malena, Kevin and Gausemeier, Sandra and Trächtler, Ansgar}, year={2025} }' chicago: Fittkau, Niklas, Leon Bußemas, Kevin Malena, Sandra Gausemeier, and Ansgar Trächtler. “Regulatory-Compliant Energy-Saving Potential for the Passing Beam of Matrix LED Headlamps.” In Proceedings of the 16th International Symposium on Automotive Lighting 2025. Darmstadt, 2025. https://doi.org/10.26083/tuprints-00030840. ieee: 'N. Fittkau, L. Bußemas, K. Malena, S. Gausemeier, and A. Trächtler, “Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps,” presented at the 16th International Symposium on Automotive Lighting, Darmstadt, 2025, doi: 10.26083/tuprints-00030840.' mla: Fittkau, Niklas, et al. “Regulatory-Compliant Energy-Saving Potential for the Passing Beam of Matrix LED Headlamps.” Proceedings of the 16th International Symposium on Automotive Lighting 2025, 2025, doi:10.26083/tuprints-00030840. short: 'N. Fittkau, L. Bußemas, K. Malena, S. Gausemeier, A. Trächtler, in: Proceedings of the 16th International Symposium on Automotive Lighting 2025, Darmstadt, 2025.' conference: end_date: 2025-09-24 location: Darmstadt name: 16th International Symposium on Automotive Lighting start_date: 2025-09-22 date_created: 2025-09-24T08:56:38Z date_updated: 2025-12-12T12:47:58Z department: - _id: '153' doi: 10.26083/tuprints-00030840 language: - iso: eng main_file_link: - open_access: '1' url: https://tuprints.ulb.tu-darmstadt.de/30825/ oa: '1' place: Darmstadt project: - _id: '693' name: Nachhaltigkeitsoptimiertes Life Cycle Assessment technologisch hochkomplexer Produkte am Beispiel Automobilbeleuchtung publication: Proceedings of the 16th International Symposium on Automotive Lighting 2025 status: public title: Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps type: conference user_id: '69890' year: '2025' ... --- _id: '63527' author: - first_name: Mark full_name: Henkenjohann, Mark last_name: Henkenjohann - first_name: Udo full_name: Nolte, Udo last_name: Nolte - first_name: Julien full_name: Jahneke, Julien last_name: Jahneke - first_name: Oliver full_name: Reimer, Oliver last_name: Reimer - first_name: Stefan full_name: Abrams, Stefan last_name: Abrams - first_name: Fabian full_name: Sion, Fabian last_name: Sion - first_name: Christian full_name: Henke, Christian last_name: Henke - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Sebastian full_name: Schubert, Sebastian last_name: Schubert - first_name: Harald full_name: Pfifer, Harald last_name: Pfifer citation: ama: 'Henkenjohann M, Nolte U, Jahneke J, et al. Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL. In: AIAA SCITECH 2025 Forum. American Institute of Aeronautics and Astronautics; 2025. doi:10.2514/6.2025-2083' apa: Henkenjohann, M., Nolte, U., Jahneke, J., Reimer, O., Abrams, S., Sion, F., Henke, C., Trächtler, A., Schubert, S., & Pfifer, H. (2025). Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL. AIAA SCITECH 2025 Forum. https://doi.org/10.2514/6.2025-2083 bibtex: '@inproceedings{Henkenjohann_Nolte_Jahneke_Reimer_Abrams_Sion_Henke_Trächtler_Schubert_Pfifer_2025, title={Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL}, DOI={10.2514/6.2025-2083}, booktitle={AIAA SCITECH 2025 Forum}, publisher={American Institute of Aeronautics and Astronautics}, author={Henkenjohann, Mark and Nolte, Udo and Jahneke, Julien and Reimer, Oliver and Abrams, Stefan and Sion, Fabian and Henke, Christian and Trächtler, Ansgar and Schubert, Sebastian and Pfifer, Harald}, year={2025} }' chicago: Henkenjohann, Mark, Udo Nolte, Julien Jahneke, Oliver Reimer, Stefan Abrams, Fabian Sion, Christian Henke, Ansgar Trächtler, Sebastian Schubert, and Harald Pfifer. “Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL.” In AIAA SCITECH 2025 Forum. American Institute of Aeronautics and Astronautics, 2025. https://doi.org/10.2514/6.2025-2083. ieee: 'M. Henkenjohann et al., “Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL,” 2025, doi: 10.2514/6.2025-2083.' mla: Henkenjohann, Mark, et al. “Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL.” AIAA SCITECH 2025 Forum, American Institute of Aeronautics and Astronautics, 2025, doi:10.2514/6.2025-2083. short: 'M. Henkenjohann, U. Nolte, J. Jahneke, O. Reimer, S. Abrams, F. Sion, C. Henke, A. Trächtler, S. Schubert, H. Pfifer, in: AIAA SCITECH 2025 Forum, American Institute of Aeronautics and Astronautics, 2025.' date_created: 2026-01-07T15:43:24Z date_updated: 2026-01-07T15:45:27Z department: - _id: '153' - _id: '241' doi: 10.2514/6.2025-2083 language: - iso: eng main_file_link: - open_access: '1' url: https://arc.aiaa.org/doi/10.2514/6.2025-2083 oa: '1' publication: AIAA SCITECH 2025 Forum publication_status: published publisher: American Institute of Aeronautics and Astronautics status: public title: Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL type: conference user_id: '82875' year: '2025' ... --- _id: '63528' author: - first_name: Fabian full_name: Reiling, Fabian last_name: Reiling - first_name: Maximilian full_name: Bause, Maximilian last_name: Bause - first_name: Stefan full_name: Gröger, Stefan last_name: Gröger - first_name: Christian full_name: Henke, Christian last_name: Henke - first_name: Steven full_name: Koppert, Steven last_name: Koppert - first_name: Ansgar full_name: Trächtler, Ansgar last_name: Trächtler citation: ama: 'Reiling F, Bause M, Gröger S, Henke C, Koppert S, Trächtler A. Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller. In: 2025 11th International Conference on Automation, Robotics, and Applications (ICARA). IEEE; 2025. doi:10.1109/icara64554.2025.10977606' apa: Reiling, F., Bause, M., Gröger, S., Henke, C., Koppert, S., & Trächtler, A. (2025). Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller. 2025 11th International Conference on Automation, Robotics, and Applications (ICARA). https://doi.org/10.1109/icara64554.2025.10977606 bibtex: '@inproceedings{Reiling_Bause_Gröger_Henke_Koppert_Trächtler_2025, title={Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller}, DOI={10.1109/icara64554.2025.10977606}, booktitle={2025 11th International Conference on Automation, Robotics, and Applications (ICARA)}, publisher={IEEE}, author={Reiling, Fabian and Bause, Maximilian and Gröger, Stefan and Henke, Christian and Koppert, Steven and Trächtler, Ansgar}, year={2025} }' chicago: Reiling, Fabian, Maximilian Bause, Stefan Gröger, Christian Henke, Steven Koppert, and Ansgar Trächtler. “Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller.” In 2025 11th International Conference on Automation, Robotics, and Applications (ICARA). IEEE, 2025. https://doi.org/10.1109/icara64554.2025.10977606. ieee: 'F. Reiling, M. Bause, S. Gröger, C. Henke, S. Koppert, and A. Trächtler, “Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller,” 2025, doi: 10.1109/icara64554.2025.10977606.' mla: Reiling, Fabian, et al. “Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller.” 2025 11th International Conference on Automation, Robotics, and Applications (ICARA), IEEE, 2025, doi:10.1109/icara64554.2025.10977606. short: 'F. Reiling, M. Bause, S. Gröger, C. Henke, S. Koppert, A. Trächtler, in: 2025 11th International Conference on Automation, Robotics, and Applications (ICARA), IEEE, 2025.' date_created: 2026-01-07T15:46:06Z date_updated: 2026-01-07T15:46:51Z department: - _id: '153' - _id: '241' doi: 10.1109/icara64554.2025.10977606 language: - iso: eng main_file_link: - open_access: '1' url: https://ieeexplore.ieee.org/document/10977606 oa: '1' publication: 2025 11th International Conference on Automation, Robotics, and Applications (ICARA) publication_status: published publisher: IEEE status: public title: Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller type: conference user_id: '82875' year: '2025' ... --- _id: '61118' abstract: - lang: eng text: Im Zuge der Digitalisierung erfahren maschinelles Lernen und datengetriebene Methoden derzeit eine große Aufmerksamkeit in Wissenschaft und Industrie. Es fehlt jedoch an Grundlagenwissen und Verständnis, wie die datengetriebenen Methoden der Informatik mit bewährten modellbasierten Ingenieursmethoden wie dem modellbasierten Entwurf in der Mechatronik und Methoden der Regelungstechnik sinnvoll kombiniert werden können, um hybride Modelle zu erhalten. Diese ingenieurwissenschaftlichen Methoden basieren auf physikalischen Verhaltensmodellen, die eine besonders verdichtete und interpretierbare Darstellung von Wissen darstellen und insbesondere kausale Zusammenhänge beschreiben. Für spezifische regelungstechnische Anwendungen gibt es umfangreiches Vorwissen in Form von bekannten Strukturen und Informationen, wie z.B. (Teil-)Modelle oder Parametersätze, die auch bei der Anwendung von Methoden wie dem maschinellen Lernen genutzt werden sollten. Eine solche sinnvolle systematische Verknüpfung ist wissenschaftlich, insbesondere im Hinblick auf die industrielle Anwendung, noch nicht ausreichend untersucht worden und sehr vielversprechend. In diesem Beitrag werden die Ergebnisse der Nachwuchsforschungsgruppe DART – Datengetriebene Methoden in der Regelungstechnik vorgestellt. Das Hauptziel war es, die synergetische Kombination von modell- und datengetriebenen Methoden für regelungstechnische Aufgaben zu erforschen und es werden alle wichtigen Forschungsergebnisse aber auch die verwendeten Grundprinzipien des maschinellen Lernens in diesem Beitrag dargestellt. - lang: eng text: In the course of digitalization, machine learning and data-driven methods are currently receiving a great deal of attention in science and industry. However, there is a lack of basic knowledge and understanding of how data-driven methods in computer science can be meaningfully combined with proven model-based engineering methods such as model-based design in mechatronics and control engineering methods to obtain hybrid models. These engineering methods are based on physical models, which represent a particularly condensed and interpretable representation of knowledge and, in particular, describe causal relationships. For specific control engineering applications, there is extensive prior knowledge in the form of known structures and information, such as (partial) models or parameter sets, which should also be used when applying methods such as machine learning. Such a meaningful systematic connection has not yet been sufficiently investigated scientifically, especially with regard to industrial applications, and is very promising. This contribution presents the results of the DART junior research group – Data-driven methods in control engineering. The main objective was to investigate the synergistic combination of model- and data-driven methods for control engineering tasks, and all important research results as well as the basic principles of machine learning used are presented in this publication. author: - first_name: Julia full_name: Timmermann, Julia id: '15402' last_name: Timmermann - first_name: Ricarda-Samantha full_name: Götte, Ricarda-Samantha id: '43992' last_name: Götte - first_name: Annika full_name: Junker, Annika id: '41470' last_name: Junker orcid: 0009-0002-6475-2503 - first_name: Michael full_name: Hesse, Michael id: '29222' last_name: Hesse - first_name: Luis full_name: Schwarzer, Luis last_name: Schwarzer citation: ama: Timmermann J, Götte R-S, Junker A, Hesse M, Schwarzer L. DART - Datengetriebene Methoden in der Regelungstechnik. Vol Band 430. 1. Auflage. HNI Verlagsschriftenreihe; 2025. doi:10.17619/UNIPB/1-2305 apa: 'Timmermann, J., Götte, R.-S., Junker, A., Hesse, M., & Schwarzer, L. (2025). DART - Datengetriebene Methoden in der Regelungstechnik: Vol. Band 430 (1. Auflage). HNI Verlagsschriftenreihe. https://doi.org/10.17619/UNIPB/1-2305' bibtex: '@book{Timmermann_Götte_Junker_Hesse_Schwarzer_2025, place={Paderborn}, edition={1. Auflage}, title={DART - Datengetriebene Methoden in der Regelungstechnik}, volume={Band 430}, DOI={10.17619/UNIPB/1-2305}, publisher={HNI Verlagsschriftenreihe}, author={Timmermann, Julia and Götte, Ricarda-Samantha and Junker, Annika and Hesse, Michael and Schwarzer, Luis}, year={2025} }' chicago: 'Timmermann, Julia, Ricarda-Samantha Götte, Annika Junker, Michael Hesse, and Luis Schwarzer. DART - Datengetriebene Methoden in der Regelungstechnik. 1. Auflage. Vol. Band 430. Paderborn: HNI Verlagsschriftenreihe, 2025. https://doi.org/10.17619/UNIPB/1-2305.' ieee: 'J. Timmermann, R.-S. Götte, A. Junker, M. Hesse, and L. Schwarzer, DART - Datengetriebene Methoden in der Regelungstechnik, 1. Auflage., vol. Band 430. Paderborn: HNI Verlagsschriftenreihe, 2025.' mla: Timmermann, Julia, et al. DART - Datengetriebene Methoden in der Regelungstechnik. 1. Auflage, vol. Band 430, HNI Verlagsschriftenreihe, 2025, doi:10.17619/UNIPB/1-2305. short: J. Timmermann, R.-S. Götte, A. Junker, M. Hesse, L. Schwarzer, DART - Datengetriebene Methoden in der Regelungstechnik, 1. Auflage, HNI Verlagsschriftenreihe, Paderborn, 2025. date_created: 2025-09-03T09:35:35Z date_updated: 2026-04-01T06:14:00Z department: - _id: '880' - _id: '153' doi: 10.17619/UNIPB/1-2305 edition: 1. Auflage language: - iso: ger main_file_link: - open_access: '1' url: https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-2305 oa: '1' place: Paderborn publication_status: published publisher: HNI Verlagsschriftenreihe status: public title: DART - Datengetriebene Methoden in der Regelungstechnik type: book user_id: '41470' volume: Band 430 year: '2025' ... --- _id: '53106' alternative_title: - LiDAR Sensor Model based on Time Dependent Photon Mapping author: - first_name: Leon full_name: Bußemas, Leon id: '51118' last_name: Bußemas - first_name: Niklas full_name: Fittkau, Niklas id: '69890' last_name: Fittkau - first_name: Sandra full_name: Gausemeier, Sandra id: '17793' last_name: Gausemeier - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Nico full_name: Rüddenklau, Nico id: '22359' last_name: Rüddenklau citation: ama: 'Bußemas L, Fittkau N, Gausemeier S, Trächtler A, Rüddenklau N. LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping. In: VDI Mechatroniktagung Dresden 2024. Technische Universität Dresden; 2024:29-34.' apa: Bußemas, L., Fittkau, N., Gausemeier, S., Trächtler, A., & Rüddenklau, N. (2024). LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping. VDI Mechatroniktagung Dresden 2024, 29–34. bibtex: '@inproceedings{Bußemas_Fittkau_Gausemeier_Trächtler_Rüddenklau_2024, place={Dresden}, title={LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping}, booktitle={VDI Mechatroniktagung Dresden 2024}, publisher={Technische Universität Dresden}, author={Bußemas, Leon and Fittkau, Niklas and Gausemeier, Sandra and Trächtler, Ansgar and Rüddenklau, Nico}, year={2024}, pages={29–34} }' chicago: 'Bußemas, Leon, Niklas Fittkau, Sandra Gausemeier, Ansgar Trächtler, and Nico Rüddenklau. “LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping.” In VDI Mechatroniktagung Dresden 2024, 29–34. Dresden: Technische Universität Dresden, 2024.' ieee: L. Bußemas, N. Fittkau, S. Gausemeier, A. Trächtler, and N. Rüddenklau, “LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping,” in VDI Mechatroniktagung Dresden 2024, Dresden, 2024, pp. 29–34. mla: Bußemas, Leon, et al. “LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping.” VDI Mechatroniktagung Dresden 2024, Technische Universität Dresden, 2024, pp. 29–34. short: 'L. Bußemas, N. Fittkau, S. Gausemeier, A. Trächtler, N. Rüddenklau, in: VDI Mechatroniktagung Dresden 2024, Technische Universität Dresden, Dresden, 2024, pp. 29–34.' conference: end_date: 15.03.2024 location: Dresden name: VDI Mechatroniktagung 2024 start_date: 14.03.2024 date_created: 2024-04-02T07:30:50Z date_updated: 2024-04-02T07:44:03Z department: - _id: '153' has_accepted_license: '1' language: - iso: ger main_file_link: - open_access: '1' url: https://www.vdi-mechatroniktagung.rwth-aachen.de/global/show_document.asp?id=aaaaaaaacjcayqj&download=1 oa: '1' page: 29-34 place: Dresden project: - _id: '691' name: 'RoSSHAF: Robustheit von Sensoren und Sensorsystemen gegenüber Umweltbedingungen für Hochautomatisiertes Fahren ' publication: VDI Mechatroniktagung Dresden 2024 publisher: Technische Universität Dresden quality_controlled: '1' status: public title: LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping type: conference user_id: '51118' year: '2024' ... --- _id: '56608' abstract: - lang: eng text: AbstractA new control method aims at the precise high dynamic control of the force signal for experimental vibration analysis, which is generated by an electrodynamic shaker. A bending beam is used as a nonlinear test object. A design and a surrogate model of the test rig are shown and parameterized based on test rig measurements. The force control algorithm using input/output linearisation is described and implemented in Matlab/Simulink for simulative validation studies. Conclusions drawn from the mathematical description of the problem as well as simulation results show that the design of the contact between shaker and test object is crucial to achieve a high control bandwidth and at the same time reduce the energy consumption of the shaker. This leads to the practical application using a novel damping contact element. Finally, experimental test rig results are presented which show a closed loop bandwidth of at least 250 Hz for sinusoidal excitation signals. article_number: '39' article_type: original author: - first_name: Christopher full_name: Lüke, Christopher id: '22675' last_name: Lüke - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler citation: ama: Lüke C, Trächtler A. Highly dynamic force control for experimental vibration analysis with an electrodynamic shaker Hochdynamische Kraftregelung für die experimentelle Schwingungsanalyse mit einem elektrodynamischen Shaker. Forschung im Ingenieurwesen. 2024;88(1). doi:10.1007/s10010-024-00757-z apa: Lüke, C., & Trächtler, A. (2024). Highly dynamic force control for experimental vibration analysis with an electrodynamic shaker Hochdynamische Kraftregelung für die experimentelle Schwingungsanalyse mit einem elektrodynamischen Shaker. Forschung Im Ingenieurwesen, 88(1), Article 39. https://doi.org/10.1007/s10010-024-00757-z bibtex: '@article{Lüke_Trächtler_2024, title={Highly dynamic force control for experimental vibration analysis with an electrodynamic shaker Hochdynamische Kraftregelung für die experimentelle Schwingungsanalyse mit einem elektrodynamischen Shaker}, volume={88}, DOI={10.1007/s10010-024-00757-z}, number={139}, journal={Forschung im Ingenieurwesen}, publisher={Springer Science and Business Media LLC}, author={Lüke, Christopher and Trächtler, Ansgar}, year={2024} }' chicago: Lüke, Christopher, and Ansgar Trächtler. “Highly Dynamic Force Control for Experimental Vibration Analysis with an Electrodynamic Shaker Hochdynamische Kraftregelung Für Die Experimentelle Schwingungsanalyse Mit Einem Elektrodynamischen Shaker.” Forschung Im Ingenieurwesen 88, no. 1 (2024). https://doi.org/10.1007/s10010-024-00757-z. ieee: 'C. Lüke and A. Trächtler, “Highly dynamic force control for experimental vibration analysis with an electrodynamic shaker Hochdynamische Kraftregelung für die experimentelle Schwingungsanalyse mit einem elektrodynamischen Shaker,” Forschung im Ingenieurwesen, vol. 88, no. 1, Art. no. 39, 2024, doi: 10.1007/s10010-024-00757-z.' mla: Lüke, Christopher, and Ansgar Trächtler. “Highly Dynamic Force Control for Experimental Vibration Analysis with an Electrodynamic Shaker Hochdynamische Kraftregelung Für Die Experimentelle Schwingungsanalyse Mit Einem Elektrodynamischen Shaker.” Forschung Im Ingenieurwesen, vol. 88, no. 1, 39, Springer Science and Business Media LLC, 2024, doi:10.1007/s10010-024-00757-z. short: C. Lüke, A. Trächtler, Forschung Im Ingenieurwesen 88 (2024). date_created: 2024-10-14T08:11:05Z date_updated: 2024-10-16T13:44:34Z department: - _id: '153' doi: 10.1007/s10010-024-00757-z intvolume: ' 88' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://link.springer.com/article/10.1007/s10010-024-00757-z?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20241011&utm_content=10.1007/s10010-024-00757-z oa: '1' publication: Forschung im Ingenieurwesen publication_identifier: issn: - 0015-7899 - 1434-0860 publication_status: published publisher: Springer Science and Business Media LLC quality_controlled: '1' status: public title: Highly dynamic force control for experimental vibration analysis with an electrodynamic shaker Hochdynamische Kraftregelung für die experimentelle Schwingungsanalyse mit einem elektrodynamischen Shaker type: journal_article user_id: '22675' volume: 88 year: '2024' ... --- _id: '54552' abstract: - lang: ger text: Die vorliegende Dissertation beschreibt das Konzept und den Entwicklungsprozess eines Lichtsignalanlagenregelungssystems bis zur Realumsetzung. Das Regelungssystem, welches im Rahmen des Pilotprojekts Schlosskreuzung entstanden ist, besteht dabei aus zwei untereinander abgestimmten Methoden zur Echtzeit-Verkehrsrekonstruktion und zur modellprädiktiven Regelung des Verkehrssystems anhand der vorhandenen Lichtsignalanlagen. Die Echtzeit-Verkehrsrekonstruktion approximiert dabei simulationsbasiert den aktuellen Verkehrszustand anhand gegebener Messdaten über dynamische Verkehrszuweisungen. Die entwickelte mehrstufige Lichtsignalanlagenregelung nutzt ein Fuzzy-System zur Phasenvorauswahl, um anschließend über eine modellprädiktive Regelung das nichtlineare Problem mit dem Ergebnis der optimalen Kombinationen von Phasen und Schaltzeitpunkten zu lösen. Das Regelungssystem wird in dieser Arbeit anhand eines ausgewählten Verkehrsgebiets zunächst rein simulativ getestet und mit dem vorliegenden Bestandsverfahren verglichen. Im Anschluss an die prototypische Inbetriebnahme wird dieser Vergleich durch die Feldtests abgeschlossen. Entsprechende Ergebnisse zeigen das große Potential der Entwicklung hinsichtlich der Reduktion von Kriterien wie Emissionen oder Wartezeiten und gleichzeitig den Handlungsbedarf für eine standardmäßige Nutzung. - lang: eng text: This dissertation describes the concept and the development process of a traffic signal control system up to the real implementation.The control system, which was developed in the context of the Pilotprojekt Schlosskreuzung, consists of two mutually coordinated methods for real-time traffic reconstruction and for model-predictive control of the traffic system based on the existing traffic light systems.The real-time traffic reconstruction approximates the current traffic state simulation-based using given measurement data via dynamic traffic assignments.The designed multi-stage traffic signal control system uses a fuzzy-system for phase preselection and subsequently employs model predictive control to solve the nonlinear problem resulting in the optimal combinations of phases and switching times.In this work, the control system is first tested purely simulatively on the basis of a selected traffic area and compared with the existing inventory method.Following the prototypical commissioning, this comparison is finalised by field tests.Corresponding results show the great potential of the development with regard to the reduction of criteria such as emissions or waiting times and at the same time the need for action for use as standard. author: - first_name: Kevin full_name: Malena, Kevin id: '36303' last_name: Malena orcid: 0000-0003-1183-4679 citation: ama: Malena K. Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems. Vol 422. Heinz Nixdorf Institut, Universität Paderborn; 2024. doi:10.17619/UNIPB/1-2021 apa: Malena, K. (2024). Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems (Vol. 422). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-2021 bibtex: '@book{Malena_2024, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems}, volume={422}, DOI={10.17619/UNIPB/1-2021}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Malena, Kevin}, year={2024}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }' chicago: Malena, Kevin. Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems. Vol. 422. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn, 2024. https://doi.org/10.17619/UNIPB/1-2021. ieee: K. Malena, Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems, vol. 422. Heinz Nixdorf Institut, Universität Paderborn, 2024. mla: Malena, Kevin. Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems. Heinz Nixdorf Institut, Universität Paderborn, 2024, doi:10.17619/UNIPB/1-2021. short: K. Malena, Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems, Heinz Nixdorf Institut, Universität Paderborn, 2024. date_created: 2024-06-03T10:42:56Z date_updated: 2024-10-30T14:41:24Z ddc: - '620' department: - _id: '153' doi: 10.17619/UNIPB/1-2021 file: - access_level: closed content_type: application/pdf creator: kmalena date_created: 2024-10-30T13:57:54Z date_updated: 2024-10-30T13:57:54Z file_id: '56828' file_name: Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems-1.pdf file_size: 14902500 relation: main_file success: 1 file_date_updated: 2024-10-30T13:57:54Z has_accepted_license: '1' intvolume: ' 422' keyword: - Traffic Light System Control - Model Predictive Control language: - iso: ger page: '207' publication_identifier: isbn: - 978-3-947647-41-5 publication_status: published publisher: Heinz Nixdorf Institut, Universität Paderborn series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts status: public supervisor: - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler - first_name: Jürgen full_name: Krimmling, Jürgen last_name: Krimmling title: Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems type: dissertation user_id: '36303' volume: 422 year: '2024' ... --- _id: '56940' abstract: - lang: ger text: "Ziel dieser Arbeit ist die Entwicklung eines modellbasierten Beobachters für eingangsaffine, nichtlineare Systeme, der trotz Modellungenauigkeiten eine hohe Schätzgüte erzielt und zusätzlich eine parametrische, physikalisch interpretierbare Darstellung dieser ermöglicht. Diese soll zur automatisierten Verbesserung des Modells verwendet werden. Die vorliegende Arbeit analysiert sowohl Techniken der hybriden Systemidentifikation wie physikalisch motivierte neuronale Netze, als auch Methoden zur Kompensation von Modellungenauigkeiten im Beobachterentwurf. Basierend auf der Analyse wird ein neuartiger, modellbasierter Beobachter entworfen, der Systemzustände und Modellungenauigkeiten gleichzeitig schätzt und insbesondere eine parametrische, physikalisch interpretierbare Darstellung der Ungenauigkeiten erzielt. Diese besteht aus einer Linearkombination von physikalisch interpretierbaren Funktionen, deren dazugehörige, dünnbesetzt modellierte Parameter mithilfe eines augmentierten Zustands parallel zu den Systemzuständen geschätzt werden. Das Novum dieser Arbeit stellt somit die echtzeitfähige Schätzung von Zuständen und Modellungenauigkeiten in physikalisch-technischer Form dar, auf deren Grundlage ein Konzept zur automatisierten Modelladaption umgesetzt wird. Die Applikation der neuartigen Methode ist in der Situation auftretender Systemveränderungen besonders vorteilhaft, da diese zur Laufzeit durch den augmentierten Beobachter\r\ngeschätzt und identifiziert werden können. " - lang: eng text: "The aim of this thesis is the development of a model-based observer for input-affine, nonlinear systems that achieves a high estimation quality despite model inaccuracies. By additionally providing a parametric, physically interpretable representation of the model inaccuracies, an automated improvement of the model should be enabled. This thesis\r\nanalyzes techniques of hybrid system identification such as physics-guided neural networks, as well as methods for compensating model inaccuracies within the observer design. Based on this analysis, a novel model-based observer is designed, which estimates states and model inaccuracies jointly and, in particular, obtains a parametric, physically\r\ninterpretable representation of the inaccuracies. This consists of a linear combination of physically interpretable functions, whose associated parameters are modeled sparse and estimated in parallel to the system’s states using an augmented state. The novelty of this thesis is thus the real-time capability to jointly estimate states and model inaccuracies in a physical-technical manner, on the basis of which an automated model adaption can be\r\ncarried out. The application of the new methodology is particularly advantageous in the situation of occurring system changes since these can be estimated and identified at run time by the augmented observer." author: - first_name: Ricarda-Samantha full_name: Götte, Ricarda-Samantha id: '43992' last_name: Götte citation: ama: Götte R-S. Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit. Vol 423.; 2024. doi:10.17619/UNIPB/1-2066 apa: Götte, R.-S. (2024). Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit (Vol. 423). https://doi.org/10.17619/UNIPB/1-2066 bibtex: '@book{Götte_2024, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit}, volume={423}, DOI={10.17619/UNIPB/1-2066}, author={Götte, Ricarda-Samantha}, year={2024}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }' chicago: Götte, Ricarda-Samantha. Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit. Vol. 423. Verlagsschriftenreihe des Heinz Nixdorf Instituts, 2024. https://doi.org/10.17619/UNIPB/1-2066. ieee: R.-S. Götte, Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit, vol. 423. 2024. mla: Götte, Ricarda-Samantha. Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit. 2024, doi:10.17619/UNIPB/1-2066. short: R.-S. Götte, Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit, 2024. date_created: 2024-11-07T11:43:05Z date_updated: 2024-11-07T11:47:59Z department: - _id: '880' - _id: '153' doi: 10.17619/UNIPB/1-2066 intvolume: ' 423' keyword: - state estimation - joint estimation - sparsity language: - iso: ger publication_identifier: isbn: - 978-3-947647-42-2 publication_status: published series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts status: public supervisor: - first_name: Julia full_name: Timmermann, Julia id: '15402' last_name: Timmermann - first_name: Ralf full_name: Mikut, Ralf last_name: Mikut title: Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit type: dissertation user_id: '43992' volume: 423 year: '2024' ...