State estimation using data: we have a new preprint on arXiv!
State predictions converge to the real states © 2021 EPFL
Our new technical report "Data-driven Unknown-input Observers and State Estimation" leverages the recently developed behavioral system theory to propose a completely data-driven framework for unknown-input observers and regular state estimation.
Our method has implications for distributed monitoring and cyber-attack detection for large-scale systems such as microgrids.