11 citations · 13 across the 4 of their papers we have counts for
3 papers · 1 filter
Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling
Mingxue Yan, Minghao Han, Adrian Wing-Keung Law +1
In this paper, we propose a physics-informed learning-based Koopman modeling approach and present a Koopman-based self-tuning moving horizon estimation design for a class of nonlin…
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator
Minghao Han, Jingshi Yao, Adrian Wing-Keung Law +1
Used water treatment plays a pivotal role in advancing environmental sustainability. Economic model predictive control holds the promise of enhancing the overall operational perfor…
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…