The paper considers large-scale systems of linear ODEs with stationary random
excitation terms. Approximations of the correlation and spectral density
functions of the stationary solutions are found by means of model reduction
techniques. To assess the approximation accuracy suitable error criterions are
introduced and error estimates are given.
Keywords :
linear random differential equation, stationary stochastic processes, model reduction, low-dimensional approximation