3 papers
eess.SY2025
Learning-based data-enabled economic predictive control with convex optimization for nonlinear systems
Mingxue Yan, Xuewen Zhang, Kaixiang Zhang +2
In this article, we propose a data-enabled economic predictive control method for a class of nonlinear systems, which aims to optimize the economic operational performance while ha…
eess.SY2025
Economic data-enabled predictive control using machine learning
Mingxue Yan, Xuewen Zhang, Kaixiang Zhang +2
In this paper, we propose a convex data-based economic predictive control method within the framework of data-enabled predictive control (DeePC). Specifically, we use a neural netw…
eess.SY2024
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…