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Article . 2015 . Peer-reviewed
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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.

Authors: Li, Linin; Ding, Steven X.; Yang, Ying; Zhang, Yong; Dominic, Shane;

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.

Abstract

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.

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Elektrotechnik

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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