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Guaranteed cost control of polynomial fuzzy time-delay systems is investigated via a sum of squares (SOS) approach in this paper Based on polynomial Lyapunov-Kraovskii functional, guaranteed cost controller and robust guaranteed cost controller, which minimize the upper bound of the given performance function, are designed. The uncertainty considered is norm-bounded type. Both of the design conditions presented are in terms of SOS. Two examples are provided to show the utility of the theoretical results obtained.