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Reduced Order Nonlinear Dynamic Aeroservoelasticity, Phase I

Completed Technology Project

Project Introduction

M4 Engineering proposes to develop methods and software to generate reduced order nonlinear models of dynamic aeroserovelastic systems. The reduced order models will be based on a hybrid NARMAX-Wavelet model, in which the basic linear behavior and gentle nonlinearities in the dynamics are captured by a Nonlinear AutoRegressive, Moving Average with eXogenous inputs (NARMAX) model with polynomial behavior, and harsh nonlinearities that result localized discontinuities or transitions are captured with a Wavelet network. This approach will allow the system to capture the range of nonlinear dynamics encountered in complex DASE systems with very efficient models suitable for use early in the design cycle. More »

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