Knowledge-Guided Adaptive Neuro-Fuzzy Self-Healing Control for Sludge Bulking in Wastewater Treatment Process-Reference-Cited by-同舟云学术

Knowledge-Guided Adaptive Neuro-Fuzzy Self-Healing Control for Sludge Bulking in Wastewater Treatment Process

Published:2024-05 Issue:5 Volume:32 Page:3226-3236
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Liu Zheng¹^ORCID,Han Honggui¹^ORCID,Qiao Junfei¹^ORCID,Ma Zeyu²^ORCID

Affiliation:

1. Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Beijing Artificial Intelligence Institute and Beijing Laboratory For Urban Mass Transit, Beijing University of Technology, Beijing, China

2. Department of Research and Development, Beijing OriginWater Technology Company, Ltd., Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Project

China Postdoctoral Science Foundation

The Youth Beijing Scholars Program

Beijing Natural Science Foundation

Beijing Postdoctoral Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10517720/10463114.pdf?arnumber=10463114

Reference50 articles.

1. Cooperative Fuzzy-Neural Control for Wastewater Treatment Process

2. A back propagation neural network model for accurately predicting the removal efficiency of ammonia nitrogen in wastewater treatment plants using different biological processes

3. Reduction of antibiotic resistome in influent of a wastewater treatment plant (WWTP) via a chemically enhanced primary treatment (CEPT) process

4. Occurrence and removal of chemicals of emerging concern in wastewater treatment plants and their impact on receiving water systems

5. Nonsingular Fixed-Time Fault-Tolerant Fuzzy Control for Switched Uncertain Nonlinear Systems