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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Vydáno v:	Neurocomputing (Amsterdam) Ročník 519; s. 148 - 157
Hlavní autoři:	Meng, Xiwang, Liu, Qingshan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 28.01.2023
Témata:	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
On-line přístup:	Získat plný text
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