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- W4365800623 abstract "In this work, an actuator fault detection problem for discrete-time Takagi-Sugeno fuzzy systems is tackled in a bounded error context where both state disturbances and measurement noise are assumed to be unknown but bounded with known bounds. First, a peak-to-peak performance synthesis method is applied to design a robust residual generator against the considered process disturbances and measurement noise. Meanwhile, an improved zonotopic approach is proposed to compute tight adaptive thresholds for residual evaluation. Then, a reliable set-membership fault detection strategy with the aid of generated residual signals and adaptive thresholds is introduced. Finally, the viability of the proposed method is demonstrated via a numerical simulation. Then, an experimentation on a 3D Crane system is performed to show its practicability." @default.
- W4365800623 created "2023-04-16" @default.
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- W4365800623 date "2023-01-01" @default.
- W4365800623 modified "2023-10-15" @default.
- W4365800623 title "An Improved Zonotopic Approach Applied to Fault Detection for Takagi-Sugeno Fuzzy Systems" @default.
- W4365800623 doi "https://doi.org/10.1109/tfuzz.2023.3267076" @default.
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