6 citations · 8 across the 5 of their papers we have counts for
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eess.SY2023
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees
Roland Schurig, Andreas Himmel, Rolf Findeisen
We address the challenge of dimension reduction in the discrete-time optimal control problem which is solved repeatedly online within the framework of model predictive control. Our…
eess.SY2023★ 6 cited
Machine Learning for Process Control of (Bio)Chemical Processes
Andreas Himmel, Janine Matschek, Rudolph Kok +3
The control of manufacturing processes must satisfy high quality and efficiency requirements while meeting safety requirements. A broad spectrum of monitoring and control strategie…