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Found 4 papers, 2 papers with code
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information
Physics informed neural networks (PINNs) have recently been proposed as surrogate models for solving process optimization problems.
Safe Optimization of an Industrial Refrigeration Process Using an Adaptive and Explorative Framework
In this paper, we demonstrate the application of an adaptive and explorative real-time optimization framework to an industrial refrigeration process, where we learn the process characteristics through changes in process control targets and through exploration to satisfy safety constraints.
Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors
These unlabelled records are not possible to use for training quality variable predictions based on supervised learning methods.
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm
We consider the problem of decision-making under uncertainty in an environment with safety constraints.
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