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  • 标题:On Nonlinear Observer Parameterizations and Its Application to Fault Detection ★ ★ This work has been supported in part by the NSFC under Grants 61473004, 61174052 and 61210012.
  • 本地全文:下载
  • 作者:Linlin Li ; Linlin Li ; Steven X. Ding
  • 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:1060-1065
  • DOI:10.1016/j.ifacol.2015.09.667
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract This paper investigates observer parameterizations and its application to observer-based fault detection for nonlinear systems. With the aid of coprime factorization techniques, the observer parameterization forms are first derived in terms of input-to-output approach and state space representation. To further implement the methodology, one design scheme is proposed for the so-called affine nonlinear systems. Then, the application of the proposed observer parameterization form to observer-based fault detection is studied. In the end, a numerical example is given to demonstrate the efficiency of our proposed scheme.
  • 关键词:KeywordsFault detectioncoprime factorizationnonlinear systemsresidual generatorobserver parameterization
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