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	Convergence rates of discrete-time stochastic approximation consensus algorithms: Graph-related limit bounds
	Tang, Huaibin; Li, Tao
刊名	SYSTEMS & CONTROL LETTERS
	2018
卷号	112页码:9-17
关键词	Consensus Sensor network Martingale difference sequence Stochastic approximation Convergence rate
DOI	10.1016/j.sysconle.2017.12.002
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4566429
专题	山东大学
作者单位	1.Shandong Univ, Sch Microelect, Jinan 250100, Shandong, Peoples R China. 2.Chinese Acad Sci, Acad Math & Syst Sci, Ins
推荐引用方式 GB/T 7714	Tang, Huaibin,Li, Tao. Convergence rates of discrete-time stochastic approximation consensus algorithms: Graph-related limit bounds[J]. SYSTEMS & CONTROL LETTERS,2018,112:9-17.
APA	Tang, Huaibin,&Li, Tao.(2018).Convergence rates of discrete-time stochastic approximation consensus algorithms: Graph-related limit bounds.SYSTEMS & CONTROL LETTERS,112,9-17.
MLA	Tang, Huaibin,et al."Convergence rates of discrete-time stochastic approximation consensus algorithms: Graph-related limit bounds".SYSTEMS & CONTROL LETTERS 112(2018):9-17.

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