Abstract: A robust model predictive control method is proposed for networked control systems with uncertain time delay and input constraints, where the uncertain time delay is modeled as norm-bounded uncertainties in the input matrix.The upper bound of robust cost index and the sufficient condition of asymptotic stability are given,and the state feedback control law is obtained by convex optimization involving linear matrix inequalities(LMIs).Validity of the proposed method is verified with simulations.