SAS-Lab

New open access paper! Physics-Informed Online Learning of Gray-box Models by Moving Horizon Estimation

The paper, authored by Kristoffer Løwenstein, Daniele Bernardini, Lorenzo Fagiano and Alberto Bemporad, presents a Moving Horizon Estimaiton approach to concurrently estiamte the state of a dynamical system and the parameters of a black-box subsystem that is part of an otherwise physics-based (white box) model. The paper is open access and available at this link.

The work has been carried out in the framework of the ELO-X project.