Distributed Kalman Filtering Over Sensor Networks With Transmission Delays

被引：48
|
作者：
Yang, Hongjiu [1 ]
Li, Hui [2 ]
Xia, Yuanqing [2 ]
Li, Li [3 ]
机构：
[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
[2] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
[3] Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2021年 / 51卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Delays; Kalman filters; State estimation; Network topology; Buffer storage; Nickel; Distributed Kalman filter; information fusion; sensor networks; stability; transmission delays; FUSION ESTIMATION; STATE ESTIMATION; SYSTEMS; CONSENSUS;
D O I：
10.1109/TCYB.2020.2980582
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article is concerned with a distributed state estimation problem over sensor networks. The communication links of the sensor networks are subject to bounded time-varying transmission delays. A distributed Kalman filtering algorithm is designed to estimate the state based on a Kalman consensus filtering algorithm. Moreover, sufficient conditions are derived for convergence on estimation errors and the boundedness of error covariances, respectively. Finally, the effectiveness of the designed algorithm is validated by a simulation example.
引用
收藏
页码：5511 / 5521
页数：11
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