Optimization control of the double‐capacity water tank‐level system using the deep deterministic policy gradient algorithm

Process control systems are subject to external factors such as changes in working conditions and perturbation interference, which can significantly affect the system's stability and overall performance. The application and promotion of intelligent control algorithms with self‐learning, self‐op...

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Veröffentlicht in:	Engineering reports (Hoboken, N.J.) Jg. 5; H. 11
Hauptverfasser:	Ye, Likun, Jiang, Pei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken John Wiley & Sons, Inc 01.11.2023 Wiley
Schlagworte:	Algorithms Artificial intelligence Batch processes Chemical oxygen demand Comparative analysis Compensation Control algorithms Control methods Control systems Controllers DDPG adaptive compensation control DDPG pure control Energy consumption Industrial production Liquid levels Machine learning Methods Neural networks Optimization Perturbation process control system Process controls Proportional integral derivative reinforcement learning Robotics Robustness Water levels Water tanks
ISSN:	2577-8196, 2577-8196
Online-Zugang:	Volltext
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