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What is Fuzzy Fault Detection in 2D Nonlinear Systems about?
This article presents a novel fault detection filtering design method for two-dimensional nonlinear systems using Takagi-Sugeno fuzzy models. The proposed approach leverages finite frequency specifications to create a residual signal that is both sensitive to faults and robust against external disturbances, improving upon traditional methods. Simulation results demonstrate the effectiveness and reduced conservativeness of the proposed method compared to conventional filtering designs.
- Author
- shuaisong1010
- Language
- EN