Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process-Reference-Cited by-同舟云学术

Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process

Published:2024-01 Issue:1 Volume:20 Page:149-157
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Wang Gongming¹^ORCID,Zhao Yidi²,Liu Caixia³,Qiao Junfei¹^ORCID

Affiliation:

1. Beijing Laboratory of Smart Environmental Protection, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Institute of Artificial Intelligence, Faculty of Information Technology, Beijing University of Technology, Beijing, China

2. College of Art, Lanzhou University, Lanzhou, China

3. Environmental Protection and Energy Saving Center, Waterborne Transport Research Institute, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

National Key Research and Development Program of China

Beijing Postdoctoral Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10355676/10070829.pdf?arnumber=10070829

Reference28 articles.

1. Life cycle assessment of wastewater treatment in developing countries: A review

2. Policy Gradient Adaptive Critic Design With Dynamic Prioritized Experience Replay for Wastewater Treatment Process Control

3. Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

4. Cooperative Fuzzy-Neural Control for Wastewater Treatment Process

5. Soft-sensing of effluent total phosphorus using adaptive recurrent fuzzy neural network with Gustafson-Kessel clustering

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