Distributed Kalman consensus filter with event-triggered communication: Formulation and stability analysis

被引：40
作者：
Zhang, Cui
Jia, Yingmin [1 ]
机构：
[1] Beihang Univ BUAA, Sch Automat Sci & Elect Engn, Res Div 7, Beijing 100191, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2017年 / 354卷 / 13期
关键词：
STATE ESTIMATION; MULTIAGENT SYSTEMS; SENSOR NETWORKS; ACTIVATION; DELAY;
D O I：
10.1016/j.jfranklin.2017.05.013
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 distributed estimation problem for networked sensing system with event-triggered communication schedules on both sensor-to-estimator channel and estimator-to-estimator chan-nel. Firstly, an optimal event-triggered Kalman consensus filter (KCF) is derived by minimizing the mean squared error of each estimator based on the send-on-delta triggered protocol. Then, the subop-timal event-triggered KCF is proposed in order to reduce the computational complexity in covariance propagation. Moreover, the formal stability analysis of the estimation error is provided by using the Lyapunov-based approach. Finally, simulation results are presented to demonstrate the effectiveness of the proposed filter. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：5486 / 5502
页数：17
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