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• W2169165131 abstract "This paper presents a novel nonlinear unknown input observer (UIO) design method for fault detection and isolation (FDI) of a class of nonlinear affine systems. By using sum-of-squares (SOS) theory and Lie geometry as the main tools, we demonstrate how to relax the rank constraint in the traditional UIO approach and simplify the design procedure, especially for the polynomial nonlinear systems. Meanwhile, we show that the detection and isolation thresholds based on the L2 gains can be easily obtained via optimization formulated in terms of SOS. Simulation examples are given to illustrate the design procedure and the advantages." @default.
• W2169165131 created "2016-06-24" @default.
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• W2169165131 date "2012-04-27" @default.
• W2169165131 modified "2023-10-10" @default.
• W2169165131 title "Fault Detection and Isolation of Nonlinear Systems: An Unknown Input Observer Approach With Sum-of-Squares Techniques" @default.
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• W2169165131 doi "https://doi.org/10.1115/1.4006074" @default.
• W2169165131 hasPublicationYear "2012" @default.
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