Distributed Fusion Filtering for Multi-sensor Networked Uncertain Systems With Unknown Communication Disturbances and Compensations of Packet Dropouts

被引：0

作者：

Qi B. ^{[1
]}

Sun S.-L. ^{[1
]}

机构：

[1] School of Electronics Engineering, Heilongjiang University, Harbin

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2018年 / 44卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Distributed fusion filter; Multi-sensor networked system; Multiplicative noise; Packet loss compensation; Unknown communication disturbance;

D O I：

10.16383/j.aas.2017.c160652

中图分类号：

学科分类号：

摘要：

This paper is concerned with the state estimation problem for multi-sensor networked systems with unknown communication disturbances, measurement losses and multiplicative noise uncertainties. The random uncertainties of the state and measurements of systems are described by white multiplicative noises. The phenomena of measurement losses during data transmissions through networks are described by a group of Bernoulli distributed random variables. Unknown communication disturbances exist in data transmissions. The predictors of the lost measurements are used as the compensation in the presence of packet losses. By applying the linear unbiased minimum variance estimation criterion, an optimal linear filter independent of unknown communication disturbances is designed for every single sensor subsystem. Filtering error cross-covariance matrices between any two local filters are derived. Further, a distributed fusion state filter is presented by using the matrix-weighted fusion estimation algorithm. A simulation example is given to verify the effectiveness of the proposed algorithms. Copyright © 2018 Acta Automatica Sinica. All rights reserved.

引用

页码：1107 / 1114

页数：7

共 21 条

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