DTAC-ADMM: Delay-Tolerant Augmented Consensus ADMM-based Algorithm for Distributed Resource Allocation

M. Doostmohammadian, W. Jiang, T. Charalambous

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

6 Sitaatiot (Scopus)

Abstrakti

Latency is inherent in almost all real-world net-worked applications. In this paper, we propose a distributed resource allocation strategy over multi-agent networks with delayed communications. The state of each agent (or node) represents its share of assigned resources out of a fixed amount (equal to the overall demand). Every node locally updates its state towards optimizing a global allocation cost function via received information of its neighbouring nodes even when the data exchange over the network is heterogeneously delayed at different links. The update is based on the alternating direction method of multipliers (ADMM) formulation subject to both sum-preserving coupling-constraint and local box-constraints. The solution is derivative-free and holds for general (not necessarily differentiable) convex cost models. We use the notion of augmented consensus over undirected networks to model delayed information-exchange for convergence analysis. We simulate our delay-tolerant algorithm for optimal energy reservation-production scheduling.
AlkuperäiskieliEnglanti
Otsikko2022 IEEE 61st Conference on Decision and Control (CDC)
KustantajaIEEE
Sivut308-315
Sivumäärä8
ISBN (elektroninen)978-1-6654-6761-2
DOI - pysyväislinkit
TilaJulkaistu - 10 tammik. 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE Conference on Decision and Control - Cancun, Mexico, Cancun, Meksiko
Kesto: 6 jouluk. 20229 jouluk. 2022
Konferenssinumero: 61

Julkaisusarja

NimiProceedings of the IEEE Conference on Decision & Control
ISSN (elektroninen)2576-2370

Conference

ConferenceIEEE Conference on Decision and Control
LyhennettäCDC
Maa/AlueMeksiko
KaupunkiCancun
Ajanjakso06/12/202209/12/2022

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