Augmented Lagrangian Tracking for distributed optimization with equality and inequality coupling constraints

In this paper we propose a novel Augmented Lagrangian Tracking distributed optimization algorithm for solving multi-agent optimization problems where each agent has its own decision variables, cost function and constraint set, and the goal is to minimize the sum of the agents’ cost functions subject...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Automatica (Oxford) Jg. 157; S. 111269
Hauptverfasser:	Falsone, Alessandro, Prandini, Maria
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2023
Schlagworte:	ADMM Augmented Lagrangian Constraint-coupled optimization Distributed optimization Proximal algorithm Distributed optimization ADMM Proximal algorithm Constraint-coupled optimization Augmented Lagrangian
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!