Distributed fault detection and isolation for multi-agent systems using relative information

Yan Li, Hao Fang, Jie Chen, Chengsi Shang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

In this paper, a distributed fault detection and isolation (FDI) strategy, based on the output estimation, is proposed to deal with the additive type of faults for a class of linear multi-agent systems using only relative information. Firstly, by applying a series of model transformations, a new fault detection model which can estimate the neighbours' nominal outputs by solving linear system equations is created. The distibuted FDI strategy based on the proposed model is then designed and proved to be effective in theory. After that, a novel event-triggered communication framework is proposed to improve the reliability of the fault detection result. A simulation of multi-vehicles undertaking formation control with FDI strategies is given at last.

Original languageEnglish
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5939-5944
Number of pages6
ISBN (Electronic)9781467386821
DOIs
Publication statusPublished - 28 Jul 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: 6 Jul 20168 Jul 2016

Publication series

NameProceedings of the American Control Conference
Volume2016-July
ISSN (Print)0743-1619

Conference

Conference2016 American Control Conference, ACC 2016
Country/TerritoryUnited States
CityBoston
Period6/07/168/07/16

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