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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Vydané v:	Automatica (Oxford) Ročník 157; s. 111269
Hlavní autori:	Falsone, Alessandro, Prandini, Maria
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2023
Predmet:	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
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