New methods for nonlinear order reduction of structural dynamic aircraft models described by nonlinear differential equations have been developed. The methods are based on singular perturbations, weak coupling and cost functionals for selecting the physical states of the reduced order model, computing and analyzing the reduced order model. By introducing a formally affine nonlinear model structure, the cost functional vector optimization yields closed expressions for the reduced order system.
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