A consensus algorithm based on multi-agent system with state noise and gradient disturbance for distributed convex optimization

Almost all systems are inevitably subject to various uncertainties or disturbances from the external environment in practical applications. Taking these factors into consideration, in this paper a distributed algorithm with state noise and gradient disturbance is proposed for solving distributed opt...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 519; pp. 148 - 157
Main Authors:	Meng, Xiwang, Liu, Qingshan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 28.01.2023
Subjects:	Distributed optimization External disturbance Gradient tracking algorithm Multi-agent system Projection error Weight-balanced graph Weight-balanced graph Distributed optimization Projection error Multi-agent system External disturbance Gradient tracking algorithm
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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