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If there are problematic frequencies within this range, the results of parametric identification become more accurate than those of non-parametric identification.
Parametric identification of viscous damping models in the context of linear vibration theory is studied.
This paper discusses the problem of parametric identification of a historic masonry tower model.
It ensures structural and parametric identification without preliminary assumptions about the working model.
Different non-parametric and parametric identification methods were then tested on simple and then complex models.
In this paper a parametric identification algorithm is applied to a case study of binary distillation.
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First, a non-parametric identification is proposed where the inputs are excited with multisines.
In this paper the input design and non-parametric identification of a 6-input, 6-output Stewart Platform is considered.
A semi-parametric identification approach is developed to estimate the linear subsystem parameters and m points on both nonlinearity borders.
Although, we apply a proportional hazard rate model, we emphasise that non-parametric identification does not rely on the proportionality assumption.
Moreover, the proposed non-parametric identification method is proved to be effective by the precisely identifying GFRFs of a two-input two-output nonlinear system.
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