Neural network prediction and control of three-dimensional unsteady separated flowfields
Author:
Affiliation:
1. Johns Hopkins University, Baltimore, Maryland 21218
2. U.S. Air Force Academy, Colorado Springs, Colorado 80840
3. University of Colorado, Boulder, Colorado 80302
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
Link
http://arc.aiaa.org/doi/pdf/10.2514/3.46866
Reference29 articles.
1. Unsteady surface pressure measurements on a pitching rectangular wing
2. Dynamic stall experiments on a swept three-dimensional wing in compressible flow
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