Reduced-order Koopman modeling and predictive control of nonlinear processes

• Main Authors: Zhang, Xuewen, Han, Minghao, Yin, Xunyuan
• Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Chemical engineering; Data-Driven Control; Koopman Operator
• Online Access: https://hdl.handle.net/10356/173081
• Institution: Nanyang Technological University

In this paper, we propose an efficient data-driven predictive control approach for general nonlinear processes based on a reduced-order Koopman operator. A Kalman-based sparse identification of nonlinear dynamics method is employed to select lifting functions for Koopman identification. The selected...