This paper describes firstly, the calculation of the Power Spectral Density Function (PSDF) for the stationary response of SDOF nonlinear second-order dynamical systems excited by a white or a broadband Gaussian noise, and secondly, the identification of a single-degree-of-freedom (SDOF) nonlinear dynamical second-order dynamical system driven by a broadband or a colored Gaussian noise. The two aspects are based on the use of a stochastic linearization method with random parameters which is an efficient way of approximating the PSDF. The gain obtained by this method is shown on a SDOF nonlinear dynamical system. In addition, it is shown that the stochastic linearization method with random parameters is an efficient approach for identifying a SDOF nonlinear dynamical system.
@article{hal-00770288,
author = {Soize, Christian},
title = {Stochastic linearization method with random parameters for SDOF nonlinear dynamical systems: Prediction and identification procedures},
journal = {HAL},
volume = {1995},
number = {0},
year = {1995},
language = {en},
url = {http://dml.mathdoc.fr/item/hal-00770288}
}
Soize, Christian. Stochastic linearization method with random parameters for SDOF nonlinear dynamical systems: Prediction and identification procedures. HAL, Tome 1995 (1995) no. 0, . http://gdmltest.u-ga.fr/item/hal-00770288/