Hierarchical Reinforcement Learning for Plantwide Control

In this paper, we introduce a novel hierarchical reinforcement learning algorithm for plant-wide control, combining a high-level artificial neural network with low-level PID controllers. We evaluate the algorithm's performance using a computational case study focused on setpoint tracking, noise...

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Bibliographic Details
Published inComputer Aided Chemical Engineering Vol. 53; pp. 1639 - 1644
Main Authors Bloor, Maximilian, Ahmed, Akhil, Kotecha, Niki, Tsay, Calvin, Mercangöz, Mehmet, del Rio-Chanona, Antonio
Format Book Chapter
LanguageEnglish
Published 2024
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