CASIA OpenIR  > 学术期刊  > IEEE/CAA Journal of Automatica Sinica
Reinforcement Learning in Process Industries: Review and Perspective
Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang
Source PublicationIEEE/CAA Journal of Automatica Sinica
AbstractThis survey paper provides a review and perspective on intermediate and advanced reinforcement learning (RL) techniques in process industries. It offers a holistic approach by covering all levels of the process control hierarchy. The survey paper presents a comprehensive overview of RL algorithms, including fundamental concepts like Markov decision processes and different approaches to RL, such as value-based, policy-based, and actor-critic methods, while also discussing the relationship between classical control and RL. It further reviews the wide-ranging applications of RL in process industries, such as soft sensors, low-level control, high-level control, distributed process control, fault detection and fault tolerant control, optimization, planning, scheduling, and supply chain. The survey paper discusses the limitations and advantages, trends and new applications, and opportunities and future prospects for RL in process industries. Moreover, it highlights the need for a holistic approach in complex systems due to the growing importance of digitalization in the process industries.
KeywordProcess control process systems engineering reinforcement learning
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Document Type期刊论文
Collection学术期刊_IEEE/CAA Journal of Automatica Sinica
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GB/T 7714
Oguzhan Dogru,Junyao Xie,Om Prakash,et al. Reinforcement Learning in Process Industries: Review and Perspective[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(2):283-300.
APA Oguzhan Dogru.,Junyao Xie.,Om Prakash.,Ranjith Chiplunkar.,Jansen Soesanto.,...&Biao Huang.(2024).Reinforcement Learning in Process Industries: Review and Perspective.IEEE/CAA Journal of Automatica Sinica,11(2),283-300.
MLA Oguzhan Dogru,et al."Reinforcement Learning in Process Industries: Review and Perspective".IEEE/CAA Journal of Automatica Sinica 11.2(2024):283-300.
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