Convergence Analysis of a Self-Stabilizing Algorithm for Minor Component Analysis
文献类型：期刊论文
| 作者 | Haidi Dong; Yingbin Gao; Gang Liu |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 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. |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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