Weighted Average Consensus-Based Cubature Information Filtering for Mobile Sensor Networks with Intermittent Observations

被引：0
|
作者：
Tan, Qingke [1 ]
Dong, Xiwang [1 ]
Liu, Fei [1 ]
Li, Qingdong [1 ]
Ren, Zhang [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
Distributed Estimation; Weighted Average Consensus; Cubature Information Filtering; Mobile Sensor Network; Intermittent Observations; STOCHASTIC STABILITY; NONLINEAR-SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of distributed state estimation for nonlinear systems with intermittent observations is considered in this paper and the algorithm of weighted average consensus-based cubature information filtering for mobile sensor networks is proposed by combining the advantages of the cubature information filtering and consensus algorithm. The nodes with observation packet losses can obtain the information contribution from neighbors in the sensor network and get the state estimations. Besides, the stochastic stability of the algorithm is analyzed for nonlinear systems. Finally, a numerical example of target tracking case study is provided to verify the effectiveness of the proposed filter.
引用
收藏
页码：8946 / 8951
页数：6
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