32 citations · 32 across the 2 of their papers we have counts for
2 papers
eess.SY2024
Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes
Xiaojie Li, Song Bo, Xuewen Zhang +2
In this work, we consider a state estimation problem for large-scale nonlinear processes in the absence of first-principles process models. By exploiting process operation data, bo…
eess.SY2024★ 32 cited
Reduced-order Koopman modeling and predictive control of nonlinear processes
Xuewen Zhang, Minghao Han, Xunyuan Yin
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 iden…