Convergence Analysis of a Self-Stabilizing Algorithm for Minor Component Analysis

doi:10.1109/JAS.2019.1911636

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	Convergence Analysis of a Self-Stabilizing Algorithm for Minor Component Analysis
	Haidi Dong; Yingbin Gao; Gang Liu
刊名	IEEE/CAA Journal of Automatica Sinica
	2020
卷号	7 期号:6 页码:1585-1592
关键词	Convergence analysis deterministic discrete time (DDT) dynamic characteristic Möller algorithm
ISSN号	2329-9266
DOI	10.1109/JAS.2019.1911636
英文摘要	The Möller algorithm is a self-stabilizing minor component analysis algorithm. This research document involves the study of the convergence and dynamic characteristics of the Möller algorithm using the deterministic discrete time (DDT) methodology. Unlike other analysis methodologies, the DDT methodology is capable of serving the distinct time characteristic and having no constraint conditions. Through analyzing the dynamic characteristics of the weight vector, several convergence conditions are drawn, which are beneficial for its application. The performing computer simulations and real applications demonstrate the correctness of the analysis’s conclusions.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/43059]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Haidi Dong,Yingbin Gao,Gang Liu. Convergence Analysis of a Self-Stabilizing Algorithm for Minor Component Analysis[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(6):1585-1592.
APA	Haidi Dong,Yingbin Gao,&Gang Liu.(2020).Convergence Analysis of a Self-Stabilizing Algorithm for Minor Component Analysis.IEEE/CAA Journal of Automatica Sinica,7(6),1585-1592.
MLA	Haidi Dong,et al."Convergence Analysis of a Self-Stabilizing Algorithm for Minor Component Analysis".IEEE/CAA Journal of Automatica Sinica 7.6(2020):1585-1592.