Consensus Error of The Linear Multi-agent Systems with Both System Noises and Measurement Noises

被引：0

作者：

Wang, Zhongmei ^{[1
]}

Zhang, Huanshui ^{[1
]}

机构：

[1] Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION | 2015年

关键词：

Linear multi-agent systems; consensus error; system noise; measurement noise; Kalman filter;

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：

As is well known to all, the multi-agent systems (MASs) are not able to reach consensus with any protocol if the MASs contains system noise. The problem of consensus error calculation for MASs with both system and measurement noises is considered. The contributions of the paper are two aspects. The first one is to design a novel protocol based on the Kalman filtering and information fusion, so that the consensus error is bounded. The second one is to characterize the consensus error based on the solution to a Lyapunov equation. The presented results are different from previous works [16]-[17] where robust consensus is considered for a class of special MASs with bounded noise.

引用

页码：1070 / 1074

页数：5

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