paper-conference

Multi-Fidelity Surrogate Model for Representing Hierarchical and Conflicting Databases to Approximate Human-Seat Interaction
Gia Huy Mike Huynh, Niklas Fahse, Jonas Kneifl, Joachim Linn, Jörg Fehr
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Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators
We discuss nonlinear model predictive control (MPC) for multi-body dynamics via physics-informed machine learning methods. In more …
Jonas Nicodemus, Jonas Kneifl, Jörg Fehr, Benjamin Unger
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Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme
Recent research in non-intrusive data-driven model order reduction (MOR) enabled accurate and efficient approximation of parameterized …
Jonas Kneifl, J. Hay, Jörg Fehr
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Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics
Modeling and simulations are a pillar in the development of complex technical systems. However, for time-critical applications a …
Jonas Kneifl, Jörg Fehr
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