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Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees
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.
Machine Learning for Process Control of (Bio)Chemical Processes
The control of manufacturing processes must satisfy high quality and efficiency requirements while meeting safety requirements.
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