Networked fault detection for fuzzy systems using a quantizer with event-triggered strategy

This paper concerns with the problem of fault detection for networked fuzzy systems. Considering the digital communication channel, quantization is adopted to make the data transmission feasible and the induced data distortion is converted into a bounded uncertain term. For the purpose of saving net...

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Bibliographic Details
Published in:Transactions of the Institute of Measurement and Control 2024-04, Vol.46 (6), p.1168-1176
Main Authors: Chen, Ziran, Cui, Ziqi, Sun, Hongtao, Tan, Cheng
Format: Article
Language:English
Subjects:
Data transmission
Fault detection
Feasibility
Fuzzy systems
Linear matrix inequalities
Mathematical analysis
Packet transmission
Stability analysis
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Summary:This paper concerns with the problem of fault detection for networked fuzzy systems. Considering the digital communication channel, quantization is adopted to make the data transmission feasible and the induced data distortion is converted into a bounded uncertain term. For the purpose of saving network resources, a new quantizer with an event-triggered strategy is designed to reduce the length and the number of the transmitted data packets, simultaneously. In the process of stability analysis, the T-S fuzzy model approach is employed to approximate the nonlinear networked system, and a more flexible fuzzy design method is presented to get the fault detection filter which can detect the sensor fault in the presence of external disturbance. And sufficient conditions are constructed to guarantee the stability of the filter error system in terms of linear matrix inequalities. Finally, the simulation example is given to verify the feasibility of the method.
ISSN:0142-3312
1477-0369
DOI:10.1177/01423312231187451