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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| container_end_page | 1220 |
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| container_issue | 6 |
| container_start_page | 1213 |
| container_title | Journal of aircraft |
| container_volume | 32 |
| creator | Faller, William E Schreck, Scott J Luttges, Marvin W |
| description | 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. |
| doi_str_mv | 10.2514/3.46866 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0021-8669 |
| ispartof | Journal of aircraft, 1995-11, Vol.32 (6), p.1213-1220 |
| issn | 0021-8669 1533-3868 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_3007907 |
| source | Alma/SFX Local Collection |
| subjects | Aerodynamics Aircraft Applied fluid mechanics Exact sciences and technology Fluid dynamics Fundamental areas of phenomenology (including applications) Neural networks Physics |
| title | Neural network prediction and control of three-dimensional unsteady separated flowfields |
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