On Kalman Filter for Stochastic System with Correlated Noises Based on Event-Triggered Sampling

被引：0

作者：

Xie, Chenghan ^{[1
]}

Li, Yunji ^{[1
]}

Xie, Yun ^{[1
]}

Wang, Hao ^{[2
]}

Peng, Li ^{[1
]}

机构：

[1] Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China

[2] Shenyang Aerosp Univ, Shenyang 110000, Peoples R China

来源：

PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年

基金：

美国国家科学基金会;

关键词：

event-triggered sensor scheduling; Kalman filtering; correlated noises; STATE ESTIMATION;

D O I：

暂无

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, an event-triggered sensor data transmission scheme for Kalman filtering, whose goal is to guarantee a good trade off between estimation quality and transmission rate, is considered in a linear stochastic system with correlated process and measurement noise. We prove an upper bound on system performance to design this transmission strategy which decides the transfer time of the data packet in detail. A numerical example is given to verify the potential and effectiveness of the theoretical results.

引用

页码：8330 / 8334

页数：5

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