Abstract
In this article, linear stochastic systems containing both additive and multiplicative noise parameters are considered. A method for the approximate evaluation of the moments, in particular the mean and variance, is presented. Techniques from matrix calculus and Kronecker algebra are employed in the investigation, and the results derived are easily amenable to computational procedures. Possible applications of the results are illustrated by two engineering examples. An attempt is made to explore the interplay of additive and multiplicative random elements.
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