A Fault Detection System Design for Uncertain Fuzzy Systems

This paper deals with a fault detection system design for uncertain nonlinear systems modelled as T-S fuzzy systems with the integral quadratic constraints. In order to generate a residual signal, we used a left coprime factorization of the T-S fuzzy system. From the filtered signal of the residual...

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Published inInternational Journal of Fuzzy Logic and Intelligent systems, 6(1) Vol. 6; no. 1; pp. 1 - 5
Main Authors Yoo, Seog-Hwan, Choi, Byung-Jae
Format Journal Article
LanguageKorean
Published 한국지능시스템학회 01.03.2006
Subjects
전기공학
Linear matrix inequality
Fault detection
Left coprime factorization
T-S fuzzy systems
Steam generator
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ISSN1598-2645
2093-744X

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Abstract This paper deals with a fault detection system design for uncertain nonlinear systems modelled as T-S fuzzy systems with the integral quadratic constraints. In order to generate a residual signal, we used a left coprime factorization of the T-S fuzzy system. From the filtered signal of the residual generator, the fault occurence can be detected effectively. A simulation study with nuclear steam generator level control system shows that the suggested method can be applied to detect the fault in actual applications.
AbstractList This paper deals with a fault detection system design for uncertain nonlinear systems modelled as T-S fuzzy systems with the integral quadratic constraints. In order to generate a residual signal, we used a left coprime factorization of the T-S fuzzy system. From the filtered signal of the residual generator, the fault occurence can be detected effectively. A simulation study with nuclear steam generator level control system shows that the suggested method can be applied to detect the fault in actual applications. KCI Citation Count: 0
This paper deals with a fault detection system design for uncertain nonlinear systems modelled as T-S fuzzy systems with the integral quadratic constraints. In order to generate a residual signal, we used a left coprime factorization of the T-S fuzzy system. From the filtered signal of the residual generator, the fault occurence can be detected effectively. A simulation study with nuclear steam generator level control system shows that the suggested method can be applied to detect the fault in actual applications.
Author Yoo, Seog-Hwan
Choi, Byung-Jae
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Keywords Linear matrix inequality
Fault detection
Left coprime factorization
T-S fuzzy systems
Steam generator
Language Korean
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PublicationTitle International Journal of Fuzzy Logic and Intelligent systems, 6(1)
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Title A Fault Detection System Design for Uncertain Fuzzy Systems
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