Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 30, Issue 10, Pages 4336-4347Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2022.3148869
Keywords
Event-triggered technique; fault detection; H-infinity; fuzzy filtering.
Funding
- Key Area Research and Development Program of Guangdong Province [2020B0909020001]
- National Natural Science Foundation of China [62173051]
- Graduate Scientific Research and Innovation Foundation of Chongqing, China [CYB20064]
- Chongqing Science Fund [cstc2019jcyjjqX0015]
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This article focuses on the fault detection filtering problem for a nonlinear dynamic system in the Takagi-Sugeno fuzzy framework. An event-triggered scheme is used considering network bandwidth utilization rate and fault occurrence probability, which can save communication resources and reduce computational burden. The proposed event-based fault detection scheme is robust against exogenous disturbances and sensitive to system faults, and it has asymptotic stability with a specified H-infinity error property.
This article deals with the fault detection filtering problem for a nonlinear dynamic system in the Takagi-Sugeno fuzzy framework. An event-triggered scheme considering network bandwidth utilization rate and fault occurrence probability is utilized, which can conserve communication resources and reduce computational burden. The fault detection fuzzy filter is used as a residual generator, and the proposed event-based fault detection scheme is formulated as a fuzzy filtering problem. Moreover, the generated residual is robust against exogenous disturbances while being sensitive to system faults, and the resulting fault detection system has asymptotic stability with a specified H-infinity error property. The corresponding solvability conditions of the fault detection filter are constructed by converting the nonconvex feasibility problem into a series of optimization problems. Finally, a numerical simulation is conducted to demonstrate the feasibility and validity of the proposed scheme.
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