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  • 标题:Distributed Fault Detection Using Relative Information in Linear Multi-Agent Networks
  • 本地全文:下载
  • 作者:Daniel Silvestre ; Paulo Rosa ; Joäo P. Hespanha
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:21
  • 页码:446-451
  • DOI:10.1016/j.ifacol.2015.09.567
  • 语种:English
  • 出版社:Elsevier
  • 摘要:This paper addresses the problem of fault detection in the context of a collection of agents performing a shared task and exchanging relative information over a communication network. A techniques in the literature is used to construct a meaningful observable system equivalent to the original unobservable system of systems. A solution involving Set-Valued Observers (SVOs) and a left-coprime factorization of the system is proposed to estimate the state in a distributed fashion and a proof of convergence of the estimates is given under mild assumptions. The performance of the detection algorithm against deterministic and stochastic faults; and when the system is subject to unmodeled disturbances is assessed through simulations.
  • 关键词:FDI for linear systemsFDI for discrete-event systemsFDI theory for networked systems
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