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  • 标题:On designing an extended Hi/H∞-FDF for a class of nonlinear Systems
  • 本地全文:下载
  • 作者:Maiying Zhong ; Hai Liu ; Ningfang Song
  • 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:707-712
  • DOI:10.1016/j.ifacol.2015.09.610
  • 语种:English
  • 出版社:Elsevier
  • 摘要:This paper investigates the problem of fault detection (FD) for a class of discrete-time nonlinear systems by using Hi/H∞ optimization. A finite horizon index Hi and H∞ norm are introduced to represent the sensitivity of residual to fault and robustness of residual against unknown input, respectively. Then the problem of residual evaluation is formulated as to a nonlinear Hi/H∞ optimization. It is shown that a local optimal Hi/H∞ FDF can be obtained by recursively computing of extended Kalman filter and a post-filter. Moreover, the local optimal solution is not unique and, for an arbitrary feasible filter gain matrix, a dynamic post-filter is also presented. A numerical example is given to demonstrate the effectiveness of the proposed method.
  • 关键词:nonlinear systemfault detection Hi/H∞ optimizationrobustnesssensitivity
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