Stability Analysis of Distributed Fusion Estimation Algorithm for Complex Networked Systems

被引：2
|
作者：
Lin, Honglei [1 ]
Sun, Shuli [1 ]
机构：
[1] Heilongjiang Univ, Sch Elect Engn, Harbin 150080, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2023年 / 55卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Stability analysis; Distributed fusion estimator; Networked system; Multi-rate sampling; Period-stability; INFORMATION FUSION; STATE ESTIMATION; MULTIRATE;
D O I：
10.1007/s11063-023-11160-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the stability of the matrix-weighted distributed fusion (MWDF) estimation algorithm is analyzed for complex networked systems with different uniformly sampling rates, time delays and fading measurement rates. First, the MWDF estimation algorithm is reformulated. Then, the asymptotic stability and steady-state property of local estimator are proven under the proper conditions. Furthermore, the period steady-state properties of the local estimator, cross-covariance matrices, and MWDF estimator are proven. Finally, a numerical example is given to illustrate the period-stability property of the MWDF estimator.
引用
收藏
页码：6781 / 6795
页数：15
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