Distributed Optimization Under Unbalanced Digraphs With Node Errors: Robustness of Surplus-Based Dual Averaging Algorithm

In this article, the robustness of distributed constrained optimization algorithms for weight-unbalanced directed multiagent networks is studied. Specifically, it is assumed that each agent is subject to additive random node errors , which are caused by the imperfect communication in networks. Under...

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Vydané v:	IEEE transactions on control of network systems Ročník 8; číslo 1; s. 331 - 341
Hlavní autori:	Shi, Chong-Xiao, Yang, Guang-Hong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Additives Algorithms Attenuation Control systems Convergence Distributed constrained optimization Gradient methods Graph theory Multiagent systems node errors Nodes Optimization Protocols Random processes Robustness unbalanced digraphs
ISSN:	2325-5870, 2372-2533
On-line prístup:	Získať plný text
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