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dc.contributor.authorEl-Badawy, Ayman A.en
dc.contributor.authorNayfeh, Ali H.en
dc.contributor.authorVanLandingham, Hugh F.en
dc.identifier.citationAyman A. El-Badawy, Ali H. Nayfeh, and Hugh Van Landingham, “Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Section,” Shock and Vibration, vol. 7, no. 6, pp. 355-361, 2000. doi:10.1155/2000/530231en
dc.description.abstractWe investigated the design of a neural-network-based adaptive control system for a smart structural dynamic model of the twin tails of an F-15 tail section. A neural network controller was developed and tested in computer simulation for active vibration suppression of the model subjected to parametric excitation. First, an emulator neural network was trained to represent the structure to be controlled and thus used in predicting the future responses of the model. Second, a neurocontroller to determine the necessary control action on the structure was developed. The control was implemented through the application of a smart material actuator. A strain gauge sensor was assumed to be on each tail. Results from computer-simulation studies have shown great promise for control of the vibration of the twin tails under parametric excitation using artificial neural networks.en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.titleNeural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Sectionen
dc.typeArticle - Refereeden
dc.description.versionPublished versionen
dc.rights.holderCopyright © 2000 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.contributor.departmentBiomedical Engineering and Mechanicsen
dc.title.serialShock and Vibrationen

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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International