A. Schönle, C. Gnanasambandham, and P. Eberhard. Calm, smooth and smart : novel approaches for influencing vibrations by means of deliberately introduced dissipation, volume 102 of Lecture notes in applied and computational mechanics, Springer, (2024)
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.
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.
F. Matter, I. Iroz, and P. Eberhard. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 22, 1, page e202200323. Wiley, (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.
H. Ebel, M. Rosenfelder, and P. Eberhard. 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 4, page e202300022. Wiley, (2023)
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.
A. Kalu-Uka, C. Ozoegwu, and P. Eberhard. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 22, 1, page e202200111. Wiley, (2023)
D. Pfeifer, J. Scheid, J. Kneifl, and J. Fehr. 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 3, page e202300225. Wiley, (2023)
B. Röder, H. Ebel, and P. Eberhard. 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 4, page e202300060. Wiley, (2023)
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.
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, 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.
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.
E. Hartlieb, P. Ziegler, and P. Eberhard. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 22, 1, page e202200324. Wiley, (2023)
S. Maier, and J. Fehr. Proceedings of the 27th International Technical Conference on the Enhanced Safety of Vehicles (ESV), page 23-0189-O. NHTSA, (2023)
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).
W. Luo, and P. Eberhard. Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2021), page 263-273. Setúbal, SciTePress, (2022)