文章基本信息

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.
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作者：Linlin Li ; Linlin Li ; Steven X. Ding 等
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