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  • 标题:Randomized Algorithm Based Fault Detection System Design for Uncertain LTI Systems
  • 本地全文:下载
  • 作者:M. Krueger ; T. Koenings ; Y. Liu
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:3648-3653
  • DOI:10.1016/j.ifacol.2017.08.711
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper studies the design of fault detection (FD) system for uncertain linear time-invariant (LTI) systems based on randomized algorithms. With the help of probabilistic robustness techniques, an iterative design approach is proposed to determine the post-filter of observer-based residual generators with direct incorporation of the probability distribution of the model parameter uncertainties into the design procedure. The effectiveness of the proposed approach is demonstrated with an illustrative example.
  • 关键词:KeywordsFault detectionRandomized algorithmUncertain systems
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