Fault-tolerant control system for once-through steam generator based on reinforcement learning algorithm

Based on the Deep Q-Network(DQN) algorithm of reinforcement learning, an active fault-tolerance method with incremental action is proposed for the control system with sensor faults of the once-through steam generator(OTSG). In this paper, we first establish the OTSG model as the interaction environm...

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書誌詳細

出版年:	Nuclear Engineering and Technology
主要な著者:	Cheng Li, Ren Yu, Wenmin Yu, Tianshu Wang
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2022-09-01
主題:	Once-through steam generator Reinforcement learning DQN algorithm Incremental action
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1738573322002170