Fly-by-Feel Control of an Aeroelastic Aircraft using Distributed Multi-Rate Kalman Filtering
Author:
Affiliation:
1. University of Florida, Gainesville
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2018-1012
Reference17 articles.
1. Fly-by-Feel Sensing and Control: Aeroservoelasticity
2. V.S. Suryakumar, Y. Babbar, T.W. Strganac and A.S. Mangalam, “Control of a Nonlinear Wing Section using Fly-by-Feel Sensing,” AIAA-2015-2239.
3. K.T. Magar, G.W. Reight, M. Rickey, B. Smyers and R. Beblo, “Aerodynamic Parameter Prediction on an Airfoil with Flap via Artificial Hair Sensors and Feedforward Neural Network,” AIAA-2016-1540.
4. Detection of flow separation and stagnation points using artificial hair sensors
5. Bio-inspired stretchable network-based intelligent composites
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