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  • 标题:Interval observer fault detection ensuring detectability and isolability by using a set-invariance approach ⁎
  • 本地全文:下载
  • 作者:Masoud Pourasghar ; Vicenҫ Puig ; Carlos Ocampo-Martinez
  • 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:1111-1118
  • DOI:10.1016/j.ifacol.2018.09.727
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper proposes the design of an interval observer-based Fault Detection and Isolation (FDI) algorithm using the set-invariance approach. Using this approach, both fault detectability and isolability properties of the proposed interval observer based FDI algorithm can be characterized in system steady-state operation. The effect of the uncertainty is taken into account using zonotopic-set representations. Finally, a simulation example based on a two-tanks system is employed to both illustrate and discuss the effectiveness of the proposed approach.
  • 关键词:KeywordsFault detectionbounded uncertaintiesobservers-based approachset-invariance approachzonotopes
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