Neural network prediction and control of three-dimensional unsteady separated flowfields
One approach to the control of unsteady aerodynamics is to develop real-time models using artificial neural networks that anticipate the unsteady flowfield wing interactions. Evidence supporting this approach is presented.
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Veröffentlicht in: | Journal of aircraft 1995-11, Vol.32 (6), p.1213-1220 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | One approach to the control of unsteady aerodynamics is to develop real-time models using artificial neural networks that anticipate the unsteady flowfield wing interactions. Evidence supporting this approach is presented. |
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ISSN: | 0021-8669 1533-3868 |
DOI: | 10.2514/3.46866 |