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  • 标题:Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling
  • 本地全文:下载
  • 作者:Toshihide Tadenuma ; Masaki Ogura ; Kenji Sugimoto
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:33
  • 页码:229-234
  • DOI:10.1016/j.ifacol.2018.12.085
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we study the problem of continuous-time state observation over lossy communication networks. We consider the situation in which the samplers for measuring the output of the plant are spatially distributed and their communication with the observer is scheduled according to a round-robin scheduling protocol. We allow the observer gains to dynamically change in synchronization with the scheduling of communications. In this context, we propose a linear matrix inequality (LMI) framework to design the observer gains that ensure the asymptotic stability of the error dynamics in continuous time. We illustrate the effectiveness of the proposed methods by several numerical simulations.
  • 关键词:KeywordsNetworked control systemsState observersSampled-data systemsRound-Robin scheduling protocolLinear matrix inequalities
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