GREAT: Grassmannian Recursive Algorithm for Tracking & Online System Identification

This paper introduces an online approach for identifying time-varying subspaces defined by linear dynamical systems. The approach of representing linear systems by non-parametric subspace models has received significant interest in the field of data-driven control recently. This system representatio...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on automatic control S. 1 - 16
Hauptverfasser:	Sasfi, Andras, Padoan, Alberto, Markovsky, Ivan, Dorfler, Florian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Behavioral systems Convergence Dynamical systems Linear systems manifold optimization Manifolds Measurement Prediction algorithms Signal processing algorithms subspace methods System identification Time-varying systems Vectors
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!