distributedregressionestimationwithincompletedatainmultiagentnetworks

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	distributedregressionestimationwithincompletedatainmultiagentnetworks
	Wang Yinghui 1; Lin Peng 1; Hong Yiguang2
	2018
发表期刊	sciencechinainformationscience
ISSN	1674-733X
卷号	061 期号:009 页码:092202
摘要	In this paper, distributed regression estimation problem with incomplete data in a time-varying multi-agent network is investigated. Regression estimation is carried out based on local agent information with incomplete in the non-ignorable mechanism. By virtue of gradient-based design and adaptive filter, a distributed algorithm is proposed to deal with a regression estimation problem with incomplete data. With the help of convex analysis and stochastic approximation techniques, the exact convergence is obtained for the proposed algorithm with incomplete data and a jointly-connected multi-agent topology. Moreover, online regret analysis is also given for real-time learning. Then, simulations for the proposed algorithm are also given to demonstrate how it can solve the estimation problem in a distributed way, even when the network configuration is time-varying.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/50105
专题	系统科学研究所
作者单位	1.中国科学院大学 2.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Wang Yinghui,Lin Peng,Hong Yiguang. distributedregressionestimationwithincompletedatainmultiagentnetworks[J]. sciencechinainformationscience,2018,061(009):092202.
APA	Wang Yinghui,Lin Peng,&Hong Yiguang.(2018).distributedregressionestimationwithincompletedatainmultiagentnetworks.sciencechinainformationscience,061(009),092202.
MLA	Wang Yinghui,et al."distributedregressionestimationwithincompletedatainmultiagentnetworks".sciencechinainformationscience 061.009(2018):092202.