Folgen
Jonas Kneifl
Jonas Kneifl
Research Associate at University of Stuttgart Institute of Engineering and Computational Mechanics
Bestätigte E-Mail-Adresse bei itm.uni-stuttgart.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
482022
A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning
J Kneifl, D Grunert, J Fehr
212020
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
152023
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
42022
VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification
P Conti, J Kneifl, A Manzoni, A Frangi, J Fehr, SL Brunton, JN Kutz
arXiv preprint arXiv:2405.20905, 2024
32024
Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks
J Kneifl, J Fehr, SL Brunton, JN Kutz
Computational Mechanics, 1-21, 2024
2*2024
On using machine learning algorithms for motorcycle collision detection
P Rodegast, S Maier, J Kneifl, J Fehr
Discover Applied Sciences 6 (6), 326, 2024
12024
Simulation data from motorcycle sensors in operational and crash scenarios
P Rodegast, S Maier, J Kneifl, J Fehr
DaRUS, 2023
12023
Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics
J Kneifl, J Fehr
PAMM 20 (S1), e202000353, 2021
12021
ApHIN-Autoencoder-based port-Hamiltonian Identification Networks (Software Package)
J Kneifl, J Rettberg, J Herb
DaRUS, 2024
2024
Data-driven identification of latent port-Hamiltonian systems
J Rettberg, J Kneifl, J Herb, P Buchfink, J Fehr, B Haasdonk
arXiv preprint arXiv:2408.08185, 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
Low-Dimensional Identification of Port-Hamiltonian Systems by Combining Model Order Reduction and Machine Learning
J Rettberg, J Kneifl, J Fehr, B Haasdonk
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–14