A consensus-based multi-agent approach for estimation in robust fault detection

被引：42

作者：

Jiang, Yulian ^{[1
,2
]}

Liu, Jianchang ^{[1
]}

Wang, Shenquan ^{[3
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China

[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China

[3] Changchun Univ Technol, Coll Elect & Elect Engn, Changchun 130012, Jilin, Peoples R China

来源：

ISA TRANSACTIONS | 2014年 / 53卷 / 05期

关键词：

Multi-agent theory; Fault detection; Consensus; Sensor network; Distributed estimation; DISCRETE-TIME-SYSTEMS; DISTRIBUTED CONSENSUS; SWITCHING TOPOLOGY; WIRELESS SENSOR; MOBILE ROBOTS; NETWORKS; DELAYS; STABILITY; STABILIZATION; AGENTS;

D O I：

10.1016/j.isatra.2014.05.011

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 is devoted to distributed estimation in robust fault detection for sensor networks with networked-induced delays and packet dropouts by using a consensus-based multi-agent approach. Utilizing the information interaction and coordination among the neighboring networks based on multiagent theory, we design novel and multiple agent-based robust fault detection filters (RFDFs) subject to only partial estimated and measured information. Asymptotically stable sufficient conditions for the innovative constructed filters are derived in the form of linear matrix inequality (LMI) and the threshold fit for each agent-based RFDF is determined. An illustrative example is given to demonstrate the effectiveness of the consensus-based multi-agent approach for the estimation in robust fault detection. (C) 2014 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：1562 / 1568

页数：7

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