3 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
Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes
Xiaojie Li, Adrian Wing-Keung Law, Xunyuan Yin
In this paper, we address a partition-based distributed state estimation problem for large-scale general nonlinear processes by proposing a Kalman-based approach. First, we formula…
eess.SY2024
Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise
Xiaojie Li, Song Bo, Yan Qin +1
In this paper, partition-based distributed state estimation of general linear systems is considered. A distributed moving horizon state estimation scheme is developed via decomposi…