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An algorithm is developed that determines the parameters of a robust dynamic linear regulator which is optimal in the sense that it minimizes a quadratic cost function. Robustness is achieved by constraining the solution to a set of controllers which satisfy an inequality based on the small gain theorem. The resulting closed loop system will remain stable even when plant dynamics deviate from the nominal by perturbations within some prescribed set.