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...

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Bibliographic Details

Published in:	Automatica (Oxford) Vol. 157; p. 111269
Main Authors:	Falsone, Alessandro, Prandini, Maria
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2023
Subjects:	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 Access:	Get full text
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