Decoupling control for wastewater treatment process based on recurrent fuzzy neural network-Reference-Cited by-同舟云学术

Decoupling control for wastewater treatment process based on recurrent fuzzy neural network

Published:2018-06-19 Issue:3 Volume:21 Page:1270-1280
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Qiao Jun‐Fei¹,Han Gai‐Tang¹^ORCID,Han Hong‐Gui¹,Yang Cui‐Li¹,Li Wei¹^ORCID

Affiliation:

1. Faculty of Information TechnologyBeijing University of Technology and Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124 China

Funder

Beijing Nova Program

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.1844

Reference30 articles.

1. Benchmark Simulation Model No 2: finalisation of plant layout and default control strategy

2. Hierarchical dissolved oxygen control for activated sludge processes

3. Dissolved oxygen control and simultaneous estimation of oxygen uptake rate in activated-sludge plants

4. Wastewater treatment benchmark: what can be achieved with simple control?

5. Multivariable PID control design for activated sludge process with nitrification and denitrification

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