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• W2116048692 abstract "In this work, an aeroelastic prediction framework is formulated by blending control-oriented techniques that consist of linear fractional transformation representation, identification of nonlinear operators, and stability boundary prediction for both flutter and limit-cycle-oscillation phenomena. The final product is an efficient tool devised to identify, characterize, and predict flutter/limit-cycle-oscillation conditions by taking full advantage of the information embedded in the flight data. A novel data-based amplitude- and airspeed-dependent operator is developed to consistently fit within the � -analysis framework. By exploiting the algebraic structure of the identified block-oriented models, a parameter-varying model is devised to represent its amplitude- and airspeed-dependent dynamic behavior. To illustrate this flutter/limit-cycle-oscillation prediction framework, the developed algorithms areapplied to astructurallynonlineartwo-dimensional wingsection while including uncertain stiffness parameters." @default.
• W2116048692 created "2016-06-24" @default.
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• W2116048692 date "2008-11-01" @default.
• W2116048692 modified "2023-09-25" @default.
• W2116048692 title "Control-Oriented Flutter/Limit-Cycle-Oscillation Prediction Framework" @default.
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• W2116048692 doi "https://doi.org/10.2514/1.36117" @default.
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