most citedPhysics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

math.DS2021

Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme

Jonas Kneifl, Julian Hay, Jörg Fehr

Recent research in non-intrusive data-driven model order reduction (MOR) enabled accurate and efficient approximation of parameterized ordinary differential equations (ODEs). Howev…

math.OC2021★ 2 cited

Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators

Jonas Nicodemus, Jonas Kneifl, Jörg Fehr +1

We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising…