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	Sensor gain fault diagnosis for a class of nonlinear systems
	Wang, Youqing ; Zhou, Donghua H.
	2010-05-06 ; 2010-05-06 ; SEP,OCT
关键词	identifiability sensor gain faults nonlinear systems unknown-input observer OBSERVERS ACCOMMODATION Automation & Control Systems
中文摘要	Identifiability of sensor gain faults is studied and a novel approach to fault detection and diagnosis of a class of nonlinear systems is presented. Sensor gain faults are divided into two classes: the conditionally identifiable faults and the conditionally detectable faults. An algorithm is proposed to obtain the number and location of the conditionally identifiable faults. Asymptotic estimation of the conditionally identifiable faults is achieved via the use of all unknown-input observer and all adaptive rule when there are no conditionally detectable faults in the system and a linear matrix inequality is satisfied, and a detection observer is presented to monitor the conditionally detectable faults. The emphasis of this paper is put oil unstable systems. Finally, simulation results oil a single-link flexible joint robot are presented for illustration.
语种	英语 ; 英语
出版者	LAVOISIER ; CACHAN ; 14, RUE DE PROVIGNY, 94236 CACHAN, FRANCE
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/8920]
专题	清华大学
推荐引用方式 GB/T 7714	Wang, Youqing,Zhou, Donghua H.. Sensor gain fault diagnosis for a class of nonlinear systems[J],2010, 2010, SEP,.
APA	Wang, Youqing,&Zhou, Donghua H..(2010).Sensor gain fault diagnosis for a class of nonlinear systems..
MLA	Wang, Youqing,et al."Sensor gain fault diagnosis for a class of nonlinear systems".(2010).

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