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…