The robust guaranteed cost sampled-data control was studied for a class of uncertain nonlinear systems with time-varying delay.The parameter uncertainties are time-varying norm-bounded and appear in both the state and the input control matrices.By applying an input delay approach,the system was transformed into a continuous time-delay system.Attention was focused on the design of a robust guaranteed cost sampled-data control law which guarantees that the closed-loop system is asymptotically stable and the quadratic performance index is less than a certain bound for all admissible uncertainties.By applying Lyapunov stability theory,the theorems were derived to provide sufficient conditions for the existence of robust guaranteed cost sampled-data control law in the form of linear matrix inequalities (LMIs),especially an optimal state-feedback guaranteed cost sampled-data control law which ensures the minimization of the guaranteed cost was given.The effectiveness of the proposed method was illustrated by a simulation example with the asymptotically stable curves of system state under the initial condition ofx(0)=[0.6796 0].