Observer-Based Fault Detection for Nonlinear Systems With Sensor Fault and Limited Communication Capacity

In this technical note, a new fault detection design scheme is proposed for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems with sensor fault based on a novel fuzzy observer. The parameter uncertainties can be captured by the membership functions of the IT2 fuzzy model. The premise variables...

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Bibliographic Details
Published inIEEE transactions on automatic control Vol. 61; no. 9; pp. 2745 - 2751
Main Authors Li, Hongyi, Gao, Yabin, Shi, Peng, Lam, Hak-Keung
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Dynamical systems
Fault detection
Faults
Fuzzy
Fuzzy systems
Gain
Mathematical models
Nonlinear systems
observer design
Observers
Parameter uncertainty
Sensitivity
Sensors
Stochastic processes
stochastic stable
Uncertain systems
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Summary:In this technical note, a new fault detection design scheme is proposed for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems with sensor fault based on a novel fuzzy observer. The parameter uncertainties can be captured by the membership functions of the IT2 fuzzy model. The premise variables of the plant are perfectly shared by the fuzzy observer. A stochastic process between the plant and the observer is considered in the system. A fault sensitive performance is established, and then sufficient conditions are obtained for determining the fuzzy observer gains. Finally, simulation results are provided to verify the effectiveness of the presented scheme.
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ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2015.2503566