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• W2073859847 abstract "This paper addresses the robust fault detection and estimation problem of nonlinear descriptor system with unknown inputs observers. The considered nonlinear descriptor system is transformed into an equivalent multi-models form by using the Takagi-Sugeno (T-S) approach. Two cases are considered: the first one deals with the multi-models based on measurable decision variables and the second one assumes that these decision variables are unmeasurable. Then, a residual generator based on an unknown observer is designed for both fault detection and estimation. Stability analysis and gain matrices determination are performed by resolving a set of Linear Matrices Inequalities (LMIs) for both cases. The performances of the proposed fault detection and estimation method is successfully applied to an electrical circuit." @default.
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• W2073859847 date "2012-12-01" @default.
• W2073859847 modified "2023-10-14" @default.
• W2073859847 title "Robust fault detection and estimation for descriptor systems based on multi-models concept" @default.
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• W2073859847 doi "https://doi.org/10.1007/s12555-012-0622-z" @default.
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