Distributed State Estimation for Nonlinear Networked System with Correlated Noises

被引：0

作者：

Liang, Yuan ^{[1
]}

Hu, Sibo ^{[1
]}

Dong, Xiwang ^{[1
,2
]}

Li, Qingdong ^{[1
]}

Ren, Zhang ^{[1
,2
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China

[2] Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing, Peoples R China

来源：

16TH IEEE INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2020) | 2020年

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

CONSENSUS;

D O I：

10.1109/icarcv50220.2020.9305456

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, the problem of distributed state estimation for nonlinear networked system with correlated noises is investigated. First, a distributed weighted consensus-based cubature information filtering algorithm is designed, of which the goal is to achieve accurate estimated states with the presence of correlated noises in a fully distributed fashion. Then based on the statistical linear approximation method, it is further proved that, the estimated states of the proposed filtering algorithm are consistent. Finally, the improved performance of the proposed filtering algorithm are confirmed by the numerical simulation.

引用

页码：1292 / 1297

页数：6

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