We consider the problem of minimizing the worst asymptotic output variance of a control system that is affected by a structurally constrained class of noise. We discuss how to impose direct size-restrictions on the noise’s covariance matrices or multiple lower and upper bounds on its spectral density over various frequency intervals. Technically all these scenarios are translated into parametric-dynamic optimization problems which have been recently shown to admit efficient numerical solutions in terms of linear matrix inequalities.