Abstract | ||
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To comply with the effluent standards and growing demands for safety and reliability, the operation of wastewater treatment processes (WWTPs) has been considered as a multiobjective control problem. In this article, a data-driven multiobjective predictive control (MOPC) method is developed to deal with the conflicting control objectives to improve the operation performance of WWTPs. The main contr... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/TII.2019.2940663 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Predictive control,Predictive models,Optimization,Fuzzy neural networks,Fuzzy control,Inductors | Data-driven,Computer science,Model predictive control,Control engineering,Sewage treatment | Journal |
Volume | Issue | ISSN |
16 | 4 | 1551-3203 |
Citations | PageRank | References |
5 | 0.42 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hong-Gui Han | 1 | 476 | 39.06 |
zheng liu | 2 | 267 | 21.86 |
Ying Hou | 3 | 5 | 0.42 |
Jun-Fei Qiao | 4 | 798 | 74.56 |