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Event-triggered fault detection for T-S fuzzy systems with local nonlinear models in finite-frequency domain

Journal of Control and Decision 2023年第2期10卷 250-259页

作者： Ying Gu Ming Huangfu School of Science Dalian Jiaotong UniversityDalianPeople’s Republic of China

This article investigates the issue of event-triggered fault detection(FD)filter design for T-S fuzzy systems with local nonlinear models.A novel H−/H∞FD filter subject to the event triggering transmission mechanism is designed in finite-frequency ***,a novel lemma,in which the nonlinear part and the event triggering mechanism are dealt appropriately,is presented to capture the sensitivity and robustness *** addition,the slack matrices are utilised to derive optimal filter parameters by solving a convex optimisation *** less conservative FD method can get better detection performances than those entire-frequency ***,an example is introduced to verify the new results.

关键词： T-S fuzzy nonlinear systems fault detection event-triggered mechanism finite-frequency domain linear matrix inequalities(LMIs)

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Fault detection for sector-bounded non-linear systems with servo inputs and sensor stuck faults

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Journal of Control and Decision 2019年第3期6卷 147-165页

作者： Ying Gu Xiao-Jian Li School of Science Dalian Jiaotong UniversityDalianChina College of Information Science and Engineering Northeastern UniversityShenyangChina State Key Laboratory of Synthetical Automation of Process Industries Northeastern UniversityShenyangChina

This paper addresses the fault detection(FD)problem for discretetime sector-bounded non-linear systems with finite-frequency servo *** non-linear systems are firstly modelled as *** main contributions are that a novel FD filter which combines the finite-frequency H∞and H−indices is *** from the existing methods,the proposed FD scheme guarantees that the generated residuals are robust against the servo inputs in fault-free case and sensitive to them in faulty ***,the small sensor stuck faults including outagefaults can be *** this class of systems,the existing finite-frequency FD filter design methods are invalid.A new lemma is developed to characterise the system performances in finite-frequency *** addition,sufficient conditions for the existence of such a FD filter are derived by introducing slack variable and linear matrix inequalities ***,an example is presented to demonstrate the method and its effectiveness.

关键词： Fault detection servo inputs sensor stuck faults sector-bounded nonlinearity finite-frequency domain

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