Reduced-order Koopman modeling and predictive control of nonlinear processes
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...
Main Authors: | Zhang, Xuewen, Han, Minghao, Yin, Xunyuan |
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Other Authors: | School of Chemistry, Chemical Engineering and Biotechnology |
Format: | Journal Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/173081 |
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