State estimation with remote sensors and intermittent transmissions

被引：29
作者：
Battistelli, G. [1 ]
Benavoli, A. [2 ]
Chisci, L. [1 ]
机构：
[1] Univ Florence, Dipartimento Sistemi & Informat, I-50139 Florence, Italy
[2] Ist Dalle Molle Studi Intelligenza Artificiale, CH-6928 Manno Lugano, Switzerland
来源：
SYSTEMS & CONTROL LETTERS | 2012年 / 61卷 / 01期
关键词：
Networked estimation; Sensor fusion; Optimal filtering; Markov chains; CONTROL-SYSTEMS; COMMUNICATION; BANDWIDTH;
D O I：
10.1016/j.sysconle.2011.10.005
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 paper deals with the problem of estimating the state of a discrete-time linear stochastic dynamical system on the basis of data collected from multiple sensors subject to a limitation on the communication rate from the remote sensor units. The optimal probabilistic measurement-independent strategy for deciding when to transmit estimates from each sensor is derived. Simulation results show that the derived strategy yields certain advantages in terms of worst-case time-averaged performance with respect to periodic strategies when coordination among sensors is not possible. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：155 / 164
页数：10
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