Distributed Information Filtering using Consensus Filters

被引:60
作者
Casbeer, David W. [1 ]
Beard, Randy [1 ]
机构
[1] Brigham Young Univ, Dept Elect & Comp Engn, Provo, UT 84602 USA
来源
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9 | 2009年
关键词
MULTIAGENT SYSTEMS; NETWORKS; STABILITY;
D O I
10.1109/ACC.2009.5160531
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we present a new information consensus filter for distributed dynamic-state estimation. Estimation is handled by the traditional information filter, while communication of measurements is handled by a consensus filter. First and second-order statistics of local estimates are discussed. It is shown that local information consensus filter estimates are unbiased, and the actual variance of the local estimation errors is comparable to a centralized estimate. However, local agents believe their local estimates are less accurate.
引用
收藏
页码:1882 / 1887
页数:6
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