Fuzzy fault detection of conic-type nonlinear systems within the finite frequency domain

Jiancheng Wang, Shuping He, Xiaoli Luan and Fei Liu

Applied Mathematics and Computation, 2020, vol. 378, issue C

Abstract: In this paper, we focused on the issue of fault detection subject to a class of conic-type nonlinear systems in the finite frequency domain (FFD). Applying Takagi Sugeno (T-S) fuzzy models, the conic-type dynamic error system is established. To prove that the residual vector is robust to external disturbances and sensitive to faults, we provide some conditions to realize H− fault sensitivity performance and H∞ disturbance attenuation performance within the FFD. Then, utilizing linear matrix inequalities techniques, the fuzzy fault detection observer design problem is transformed into an optimization algorithm. Finally, a numerical example related to a tunnel diode-circuit is given to confirm the validity of the designed scheme.

Keywords: Fault detection observer; Takagi Sugeno fuzzy models; Finite frequency domain; Conic-type nonlinear systems (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:378:y:2020:i:c:s0096300320301508

DOI: 10.1016/j.amc.2020.125181

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