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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Published in | Computer Aided Chemical Engineering Vol. 53; pp. 1639 - 1644 |
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Main Authors | , , , , , |
Format | Book Chapter |
Language | English |
Published |
2024
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Online Access | Get full text |
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