activity
20222024
most citedReduced-order Koopman modeling and predictive control of nonlinear processes

32 citations · 35 across the 16 of their papers we have counts for

collaborators

16 papers

eess.SY2024

Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes

Zhaoyang Li, Minghao Han, Dat-Nguyen Vo +1

Koopman-based modeling and model predictive control have been a promising alternative for optimal control of nonlinear processes. Good Koopman modeling performance significantly de…

eess.SY2024

Approximating arrival costs in distributed moving horizon estimation: A recursive method

Xiaojie Li, Xunyuan Yin

In this paper, we present a new approach to distributed moving horizon estimation for constrained nonlinear processes. The method involves approximating the arrival costs of local…

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…

eess.SY20241 cited

Performance triggered adaptive model reduction for soil moisture estimation in precision irrigation

Sarupa Debnath, Bernard T. Agyeman, Soumya R. Sahoo +2

Accurate soil moisture information is crucial for developing precise irrigation control strategies to enhance water use efficiency. Soil moisture estimation based on limited soil m…