Abstract: In this article, we propose a model predictive control (MPC) algorithm using sequential convex programming (SCP) to address concave inequality constraints. Based on traditional SCP, we ...
Graph Neural Networks for Chemical Process Fault Diagnosis Based on Hybrid Variable Feature Learning
Abstract: Graph-based data representation allows us to take into account not only the behavior of each sensor signal but also the correlations and hidden relationships between them. Therefore, using ...
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