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  • 标题:Finite-Horizon Distributed H∞ Fault Estimation for Time-Varying Systems in Sensor Networks: A Krein-Space Approach
  • 本地全文:下载
  • 作者:Bo Shen ; Zidong Wang ; Hongli Dong
  • 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:48-53
  • DOI:10.1016/j.ifacol.2015.09.503
  • 语种:English
  • 出版社:Elsevier
  • 摘要:In this paper, the finite-horizon distributed H∞ fault estimation problem is investigated for a class of linear discrete time-varying systems in sensor networks. Sensor nodes are distributed according to a given network topology and each sensor receives the information from both the system and its neighbors. A set of measurement models is established for each sensor node that describes all the available information from the node and its neighbors. The distributed H∞ fault estimation problem addressed is first transformed into an optimization issue of a certain indefinite quadratic form. Then, by employing innovation analysis and projection theory in Krein spaces, the desired distributed H∞ fault estimators are designed in terms of the solution to a set of recursive equations. Finally, an illustrative example is presented to show the effectiveness of the proposed distributed fault estimation scheme.
  • 关键词:Distributed estimationfault estimationfinite horizonsensor networkstime-varying systems
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