Reactor runaway aware RL Agents for safe reactor operation
Rattachement africain : hu, cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The control of semi-batch reactors is a challenging task due to the fact that these systems are non-stationary and often non-linear. Thermal runaway may also occur without strict operator supervision and rigorous control systems, which can lead to critical safety incidents. Reinforcement learning (RL) can offer a solution to the mentioned issues for autonomous process control by handling non-linearities and learning the uncertainties of the process. We applied Twin Delayed Deep Deterministic Policy Gradient (TD3) agents with different penalty weight factors in the reward function and compared their control performance on a reactor case study. Assessment of a thermal runaway criterion was included in the training of the agents to make them aware of potential future operating conditions and to ensure safe and stable process behavior. The proposed approach shows that applying RL for non-continuous systems is promising due to the observed flexibility and ease of setting up the system.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Reactor runaway aware RL Agents for safe reactor operation
- Date Crossref
- 01/09/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Pannonia Department of Process Engineering pays non établi dans la noticeUniversité ou école supérieure
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Hebei University of Technology pays non établi dans la noticeUniversité ou école supérieure
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School of Chemical Engineering and Technology Tianjin Key Laboratory of Chemical Process Safety pays non établi dans la noticeUniversité ou école supérieure
Department of Process Engineering — University of Pannonia, Hebei University of Technology et Tianjin Key Laboratory of Chemical Process Safety — School of Chemical Engineering and Technology.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.