Efficient economic model predictive control of water treatment process with the learning-based Koopman operator

Efficient economic model predictive control of water treatment process with the learning-based Koopman operator

Used water treatment plays a pivotal role in advancing environmental sustainability. Economic model predictive control holds the promise of enhancing the overall operational performance of the water treatment facilities. In this study, we propose a data-driven economic predictive control approach...

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Bibliographic Details
Main Authors: Han, Minghao, Yao, Jingshi, Law, Adrian Wing-Keung, Yin, Xunyuan
Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Engineering
Economic model predictive control
Koopman operator
Learning-based modeling and control
Water treatment process
Online Access:https://hdl.handle.net/10356/176190

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