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• W2135965597 abstract "In this paper we exploit a novel identification algorithm to identify a linear parameter-varying (LPV) aeroelastic system equipped with trailing edge flaps. In the identification algorithm we use a recently introduced factorization which makes it possible to form predictors which are based on past inputs, outputs, and known aeroelastic data. The predictors contain the LPV equivalent of the Markov parameters. Using the predictors, ideas from Predictor Based Subspace IDentification (PBSID) are developed to estimate the state sequence from which the LPV aeroelastic system matrices can be constructed. Since the algorithm can be used in a closed-loop setting it can be applied on a flutter example." @default.
• W2135965597 created "2016-06-24" @default.
• W2135965597 creator A5003504954 @default.
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• W2135965597 date "2010-12-01" @default.
• W2135965597 modified "2023-09-25" @default.
• W2135965597 title "LPV identification of an aeroelastic flutter model" @default.
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• W2135965597 doi "https://doi.org/10.1109/cdc.2010.5717879" @default.
• W2135965597 hasPublicationYear "2010" @default.
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