  We develop a fast algorithm to construct the robustness degradation function,
which describes quantitatively the relationship between the proportion of
systems guaranteeing the robustness requirement and the radius of the
uncertainty set. This function can be applied to predict whether a controller
design based on an inexact mathematical model will perform satisfactorily when
implemented on the true system.
