D. Leprich, M. Rosenfelder, M. Hermle, J. Chen, and P. Eberhard. Dataset, (2025)Related to: Leprich, D.; Rosenfelder, M.; Hermle, M.; Chen, J.; Eberhard, P.: Model Predictive Path-Following Control of a Quadrotor. doi: 10.48550/arXiv.2506.15447.
A. Elangasinghe, T. Könecke, J. Schneider, M. Rosenfelder, M. Hanss, and P. Eberhard. Dataset, (2025)Related to: Elangasinghe, A.; Könecke, T.; Schneider, J.; Rosenfelder, M.; Hanss, M.; Eberhard, P.: Possibilistic Filtering and Control of a Highly Dynamic Mechanical System in the Presence of Uncertainty.
I. Kilittuwa Gamage, A. Baumann, D. Sollich, and P. Eberhard. Dataset, (2025)Related to: Anjana, I.: Baumann, A.: Sollich, D.; Eberhard, P.: An SPH Approach to Model the Influence of Assist Gas Forces in Laser Cutting.
J. Kneifl, J. Rettberg, and J. Herb. Software, (2024)Related to: Johannes Rettberg, Jonas Kneifl, Julius Herb, Patrick Buchfink, Jörg Fehr, and Bernard Haasdonk. Data-driven identification of latent port-Hamiltonian systems. Arxiv, 2024. arXiv: 2408.08185.
J. Kneifl, J. Rettberg, and J. Fehr. Software, (2024)Related to: Rettberg, J., Kneifl, J., Herb, J., Buchfink, P., Fehr, J., Haasdonk, B.: Data-driven identification of low-dimensional port-Hamiltonian systems. To be submitted (2024).
J. Rettberg, D. Wittwar, and R. Herkert. Software, (2023)Related to: Rettberg, J.; Wittwar, D.; Buchfink, P.; Brauchler, A.; Ziegler, P.; Fehr, J.; Haasdonk, B.: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. Mathematical and Computer Modelling of Dynamical Systems, 2023, Vol. 29, No. 1, 116-148. doi: 10.1080/13873954.2023.2173238.
J. Kneifl, and J. Fehr. Software, (2023)Related to: Kneifl, J., Kutz, J. N., Brunton, S.L., Fehr, J.: Multi-Hierarchical Surrogate Learning of Structural Dynamical Systems Using Graph Convolutional Neural Networks. To be submitted (2023).
M. Rosenfelder, H. Ebel, and P. Eberhard. Dataset, (2023)Related to: Rosenfelder, M., Ebel, H., Eberhard, P. (2023). Force-based organization and control scheme for the non-prehensile cooperative transportation of objects. Robotica, pp. 1-14, 2023. doi: 10.1017/S0263574723001704.
F. Kempter, L. Lantella, N. Stutzig, J. Fehr, and T. Siebert. Software, (2023)Related to: Kempter, Fabian; Lantella, Lorena; Stutzig, Norman; Fehr, Jörg and Siebert, Tobias: Role of Rotated Head Postures on Volunteer Kinematics and Muscle Activity in Braking Scenarios Performed on a Driving Simulator, Annals of Biomedical Engineering , Vol. 51, No. 4 p. 771-782 2023. doi: 10.1007/s10439-022-03087-9.
J. Rettberg, D. Wittwar, P. Buchfink, A. Brauchler, P. Ziegler, J. Fehr, and B. Haasdonk. Dataset, (2023)Related to: Rettberg, J.; Wittwar, D.; Buchfink, P.; Brauchler, A.; Ziegler, P.; Fehr, J.; Haasdonk, B.: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. Mathematical and Computer Modelling of Dynamical Systems, 2023. doi: 10.1080/13873954.2023.2173238.
M. Steffen. Dataset, (2023)Related to: Maier, S.: Simulation of a Novel Restraint Safety Concept for Motorcycles, Dissertation, University of Stuttgart, Shaker Verlag, Aachen, tbd.
J. Kneifl, D. Rosin, O. Avci, O. Röhrle, and J. Fehr. Software, (2023)Related to: Kneifl, J, Rosin, D., Röhrle, O., Fehr, J.: Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction, 2022. tbd.
M. Rosenfelder, H. Ebel, and P. Eberhard. Dataset, (2023)Related to: Rosenfelder, M., Ebel, H., Eberhard, P. (2023). A Force-Based Formation Synthesis Approach for the Cooperative Transportation of Objects. In: Petrič, T., Ude, A., Žlajpah, L. (eds) Advances in Service and Industrial Robotics. RAAD 2023. Mechanisms and Machine Science, vol 135. Springer, Cham. doi: 10.1007/978-3-031-32606-6_37.
P. Rodegast, S. Maier, J. Kneifl, and J. Fehr. Software, (2023)Related to: Rodegast, P., Maier, S., Kneifl, J., Fehr, J.: On using Machine Learning Algorithms for Motorcycle Collision Detection, 2023. tbd.
J. Kneifl, J. Hay, and J. Fehr. Software, (2022)Related to: Jonas Kneifl, Julian Hay, and Jörg Fehr (2021). Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme. Preprint. arXiv: 2110.13583.
L. Nölle, P. Lerge, O. Martynenko, I. Wochner, F. Kempter, C. Kleinbach, S. Schmitt, and J. Fehr. Dataset, (2022)Related to: Kleinbach, C., Martynenko, O., Promies, J., Haeufle, D.F., Fehr, J., Schmitt, S., 2017. Implementation and validation of the extended hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models. Biomedical engineering online 16, 109. doi: 10.1186/s12938-017-0399-7.
J. Kneifl, and J. Fehr. Software, (2020)Related to: Jonas Kneifl, Dennis Grunert, and Joerg Fehr (2021). A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning. In: International Journal for Numerical Methods in Engineering, 122:4774-4786. doi: 10.1002/nme.6712.
