Data-driven robust adaptive control for wastewater treatment process-Reference-Cited by-同舟云学术

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Data-driven robust adaptive control for wastewater treatment process

Published:2022-11-19 Issue: Volume: Page:
ISSN:
Container-title:2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
language:
Short-container-title:

Author:

Cao Yaxin¹,Qie Qiuyue²,Wang Gongming³

Affiliation:

1. Qufu Normal University,Library Management Centre,Qufu,China,273165

2. Army Aviation Institute of the PLA,Research Center of the UAV System,Beijing,China,101123

3. Beijing University of Technology,Beijing Institute of Artificial Intelligence,Beijing,China,100124

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10023546/10022325/10023778.pdf?arnumber=10023778

Reference16 articles.

1. A Mixture of Variational Canonical Correlation Analysis for Nonlinear and Quality-Relevant Process Monitoring

2. Oxygen Uptake Rate Measurement Using Kalman Filter and PWM Control in Activated Sludge Systems

3. An adaptive RBF neural network control method for a class of nonlinear systems

4. Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System

5. A Self-Organizing Sliding-Mode Controller for Wastewater Treatment Processes

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Operation Forecasting of Air Blowers in a Wastewater Treatment Plant via Machine Learning-based Models;SoutheastCon 2024;2024-03-15

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