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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Bibliographic Details
Published in:	IEEE transactions on control of network systems Vol. 8; no. 1; pp. 331 - 341
Main Authors:	Shi, Chong-Xiao, Yang, Guang-Hong
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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