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Distributed Fault Detection and Isolation for Multi-agent Systems Using Relative Information
Yan Li,Hao Fang,Jie Chen
The School of Automation, Beijing Institute of Technology, Beijing 100081
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Funding: 高等学校博士学科点专项科研基金 （No.20111101110011）
Opened online:31 December 2015
Accepted by: none
Citation: Yan Li,Hao Fang,Jie Chen.Distributed Fault Detection and Isolation for Multi-agent Systems Using Relative Information[OL]. [31 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4673351
 
 
In this paper, a distributed fault detection and isolation (FDI) strategy, based on the output estimation, is proposed for a class of linear multi-agent systems using only relative information. By applying a series of model transformations, a new distributed fault detection model which can estimate the neighbours' nominal outputs by solving linear system equations is created. By considering the group dominance of nodes undertaking a shared task, a novel event-triggered communication framework exchanging the residual between the actual output and the estimated nominal one in local subsystems is designed to improve the reliability of the fault detection result. A simulation of multi-vehicles undertaking formation control with FDI strategies is given at last.
Keywords:Pattern recognition and intelligent system; Fault detection and isolation(FDI); Multi-agent system(MAS)
 
 
 

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