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  • 标题:Finite-Horizon H ∞ Fault Estimation for Time-Varying Systems with Random Access Protocol ⁎
  • 本地全文:下载
  • 作者:Lei Zou ; Zidong Wang ; Donghua Zhou
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:24
  • 页码:314-319
  • DOI:10.1016/j.ifacol.2018.09.595
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper is concerned with the finite-horizonH∞fault estimation problem for linear time-varying systems subject to Random Access protocol scheduling. The communication between the sensors nodes and the remote fault estimator is implemented via a shared network. For the purpose of preventing the data from collisions, only one sensor node is allowed to get access to the network at each time instant. The transmission order of sensor nodes is orchestrated by the RAP scheduling, under which the selected nodes obtaining access to the network could be characterized by a sequence of independent and identically-distributed (i.i.d) variables. The corresponding time-varying fault estimator is designed based on the received measurement signals. Sufficient conditions are established to ensure the desiredH∞performance requirement in terms of a family of recursive linear matrix inequalities. An illustrative example is given to demonstrate the effectiveness of our developed fault estimation approach.
  • 关键词:KeywordsFault estimationRandom Access protocolTime-varying systemsNetworked systemsRecursive linear matrix inequalities
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