| Physics-informed neural networks-based model predictive control for multi-link manipulators J Nicodemus, J Kneifl, J Fehr, B Unger IFAC-PapersOnLine 55 (20), 331-336, 2022 | 25 | 2022 |
| A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning J Kneifl, D Grunert, J Fehr | 17 | 2020 |
| Low-dimensional data-based surrogate model of a continuum-mechanical musculoskeletal system based on non-intrusive model order reduction J Kneifl, D Rosin, O Avci, O Röhrle, J Fehr Archive of Applied Mechanics 93 (9), 3637-3663, 2023 | 9 | 2023 |
| Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme J Kneifl, J Hay, J Fehr IFAC-PapersOnLine 55 (20), 283-288, 2022 | 2 | 2022 |
| Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios P Rodegast, S Maier, J Kneifl, J Fehr DaRUS, 2023 | 1 | 2023 |
| On using Machine Learning Algorithms for Motorcycle Collision Detection P Rodegast, S Maier, J Kneifl, J Fehr arXiv preprint arXiv:2403.09491, 2024 | | 2024 |
| Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks J Kneifl, J Fehr, SL Brunton, JN Kutz arXiv preprint arXiv:2402.09234, 2024 | | 2024 |
| An improved development process of production plants using digital twins with extended dynamic behaviour in virtual commissioning and control–Simulation@ Operations D Pfeifer, J Scheid, J Kneifl, J Fehr PAMM 23 (3), e202300225, 2023 | | 2023 |
| Human Occupant Motion in Pre-Crash Scenario J Kneifl, J Hay, J Fehr DaRUS, 2022 | | 2022 |
| Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics J Kneifl, J Fehr PAMM 20 (S1), e202000353, 2021 | | 2021 |
| SimTech Conference 2023 Reduced order modeling of parametrized systems through variational autoencoders and system identification P Conti, J Kneifl | | |
| Low-Dimensional Identification of Port-Hamiltonian Systems by Combining Model Order Reduction and Machine Learning J Rettberg, J Kneifl, J Fehr, B Haasdonk | | |
Jörg FehrProfessor at Institute of Engineering and Computational Mechanics and SimTech, University ofПідтверджена електронна адреса в itm.uni-stuttgart.de
