On the Equivalence of Model-Based and Data-Driven Approaches to the Design of Unknown-Input Observers
Year: 2024
Type: article
Abstract: In this article, we investigate a data-driven approach to the design of an unknown-input observer (UIO). Specifically, we provide necessary and sufficient conditions for the existence of a UIO for a discrete-time linear time-invariant system, designed based only on some available data, obtained on a finite time window. We also prove that, under weak assumptions on the collected data, the solvability conditions derived by means of the data-driven approach are in fact equivalent to those obtained through the model-based one. In other words, the data-driven conditions do not impose further constraints with respect to the classic model-based ones, expressed in terms of the original system matrices.
Authors: Giorgia Disarò, Maria Elena Valcher
Institution: University of Padua
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,495
OpenAlex ID: W4403510609