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Active drag reduction using neural networks

Babcock, David and Lee, Changhoon and Gupta, Bhusan and Kim, John and Goodman, Rodney (1996) Active drag reduction using neural networks. In: Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing. IEEE , Piscataway, NJ, pp. 279-287. ISBN 0-8186-7456-3.

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This paper presents the application of a neural network controller to the problem of active drag reduction in a fully turbulent 3D fluid flow regime. The neural network learns a function nearly identical to an analytically derived control law. We then demonstrate the ability of a neural controller to maintain a drag-reduced flow in a fully turbulent fluid simulation. Finally we examine the amount of parameter variation that may be required for a physical implementation of such a neural controller.

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Additional Information:© 1996 IEEE. This work. is supported in part by the Center for Neuromorphic Systems Engineering as a part of the National Science Foundation Engineering Research Center Program under grant EEC-9402726; and by the California Trade and Commerce Agency, Office of Strategic Technology under grant C94-0165. This work is also supported in part by ARPA/ONR under grant no. N00014-93-1-0990, and by an AFOSR University Research Initiative grant no. F4962093-1-0332. Computer time has been supplied by the San Diego Supercomputer Center and by the NAS program at NASA Ames Research Center.
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California Trade and Commerce AgencyC94-0165
Office of Naval Research (ONR)N00014-93-1-0990
Air Force Office of Scientific Research (AFOSR)F4962093-1-0332
Center for Neuromorphic Systems Engineering, CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20190320-143014388
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Official Citation:D. Babcock, Changhoon Lee, B. Gupta, J. Kim and R. Goodman, "Active drag reduction using neural networks," Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing, Venice, Italy, 1996, pp. 279-287. doi: 10.1109/NICRSP.1996.542770
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94002
Deposited By: Tony Diaz
Deposited On:20 Mar 2019 21:40
Last Modified:16 Nov 2021 17:02

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