Aeroelastic System Identification for Flutter Prediction via Multi-Output Autoregressive Modeling

What is it about?

The paper proposes aeroelastic system identification with multi-output autoregressive models that concurrently account for multiple measured data (as strains measured in optical fibers or accelerations). The proposed modeling approaches are tested with wind-tunnel data. They provide smooth identification of the aeroelastic frequencies and damping values, which lead to accurate flutter onset identification.

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