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- W2124103610 abstract "SUMMARYThis paper investigates the design of robust‡ fault detection and isolation filters for linear parameter-varying systems modeled in a linear fractional representation fashion. The goal is to obtain structured fault detection filters with enhanced fault transmission H− gain and large H∞ nuisance attenuation. It is shown by means of the scaling matrices technique and the projection lemma that the synthesis of the residual structuring and the filter state-space matrices can be performed simultaneously using linear matrix inequality optimization techniques. Computational aspects are discussed and it is shown that the proposed solution is structurally well defined. Closed-loop time simulations demonstrate the efficiency of the proposed method. Copyright © 2011 John Wiley & Sons, Ltd." @default.
- W2124103610 created "2016-06-24" @default.
- W2124103610 creator A5025846369 @default.
- W2124103610 date "2011-06-13" @default.
- W2124103610 modified "2023-09-30" @default.
- W2124103610 title "Structured fault detection filters for LPV systems modeled in an LFR manner" @default.
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- W2124103610 doi "https://doi.org/10.1002/acs.1258" @default.
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