Structured singular value synthesis allows the design of controllers that are robust with respect to multiple block-structured uncertainty. This type of design process commonly relies on ’D-Kiteration’ and curve fitting. In particular, the optimalD-scales and the controller are iteratively optimized. Since theD-scales are optimized over frequency, they must be curve fitted with rational transfer functions before the controller is optimized. This curve fitting can be difficult and often leads to suboptimal designs. This paper presents a structured singular value process that allows theD-scales to be constrained to be constant and simultaneously optimizes theD-scales and the controllerK. The approach relies on recent results on mixed-normH2/H∞controller synthesis and also enables the direct design of reduced-order controllers.