surrogate model

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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A nonintrusive nonlinear model reduction method for structural dynamical problems based on machine learning
Abstract Model order reduction (MOR) has become one of the most widely used tools to create efficient surrogate models for …
Jonas Kneifl, Dennis Grunert, Joerg Fehr
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