2022
DOI: 10.1109/tfuzz.2021.3050854
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Interval-Observer-Based Fault Detection and Isolation Design for T-S Fuzzy System Based on Zonotope Analysis

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Cited by 53 publications
(18 citation statements)
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“…For example, the authors in (Salehifar et al (2021)) have been investigated the problem of robust observer-based control for one-sided Lipschitz nonlinear systems subject to parametric uncertainties and external disturbances. Several other articles have addressed the stable stabilization problem of uncertain Takagi-Sugeno (T-S) fuzzy models (Ahammed and Azeem 2019;Dong et al 2021;Zhu et al 2021). In (Islam et al (2020)), the robust controller design for an uncertain fuzzy system with time-varying time-delay was investigated using a fuzzy functional observer.…”
Section: Introductionmentioning
confidence: 99%
“…For example, the authors in (Salehifar et al (2021)) have been investigated the problem of robust observer-based control for one-sided Lipschitz nonlinear systems subject to parametric uncertainties and external disturbances. Several other articles have addressed the stable stabilization problem of uncertain Takagi-Sugeno (T-S) fuzzy models (Ahammed and Azeem 2019;Dong et al 2021;Zhu et al 2021). In (Islam et al (2020)), the robust controller design for an uncertain fuzzy system with time-varying time-delay was investigated using a fuzzy functional observer.…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, the reliability and performance of the system would be degraded if the sensor(s) fail to provide the required measurements. As a result, numerous model-based and signal-based fault detection and isolation approaches have been investigated in the literature [21,7]. This study proposes an active fault-tolerant fractional-order nonsingular terminal SMC (FTSMC) scheme for the RSC of DFIG-based WT.…”
Section: Introductionmentioning
confidence: 99%
“…It is shown that this method has a good estimation effect. In reference [31], a special interval observer based on the zonotope method is proposed for the T-S fuzzy system, however, this method is only suitable for discrete-time systems, not for continuous-time systems.…”
Section: Introductionmentioning
confidence: 99%