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

• Main Authors: Han, Minghao, Yao, Jingshi, Law, Adrian Wing-Keung, Yin, Xunyuan
• Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
• Format: 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
• Institution: Nanyang Technological University

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...