Hierarchical modeling of multi-scale dynamical systems using adaptive radial basis function neural networks: application to synthetic jet actuator wing

Hierarchical modeling of multi-scale dynamical systems using adaptive radial basis function neural networks: application to synthetic jet actuator wing

To obtain a suitable mathematical model of the input-output behavior of highly nonlinear, multi-scale, nonparametric phenomena, we introduce an adaptive radial basis function approximation approach. We use this approach to estimate the discrepancy between traditional model areas and the multiscale p...

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Bibliographic Details
Main Author: Lee, Hee Eun
Other Authors: Junkins, John L.
Format: Others
Language:en_US
Published: Texas A&M University 2004
Subjects:
Neural network
Adaptive control
Hierarchical modeling
Online Access:http://hdl.handle.net/1969.1/230

Internet

http://hdl.handle.net/1969.1/230

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