Deep reinforcement learning based controller with dynamic feature extraction for an industrial claus process

•The DRL-based controller integrating with the process dynamics is developed.•The dynamic feature is extracted from the historical data using the Seq2seq network.•The controller was trained by interacting with the Seq2seq model.•The standard deviation of the control variable in the industrial Claus...

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Bibliographic Details

Published in:	Journal of the Taiwan Institute of Chemical Engineers Vol. 146; p. 104779
Main Authors:	Liu, Jialin, Tsai, Bing-Yen, Chen, Ding-Sou
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.05.2023
Subjects:	Actor-critic networks Deep reinforcement learning industrial Claus process Sequence-to-sequence network Twin delayed deep deterministic policy gradient algorithm Deep reinforcement learning industrial Claus process Actor-critic networks Sequence-to-sequence network Twin delayed deep deterministic policy gradient algorithm
ISSN:	1876-1070, 1876-1089
Online Access:	Get full text
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