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This paper investigates the stabilization of nonlinear networked control systems (NCSs) subject to two types of uncertainties. Firstly, the nonlinear NCS is modeled as a continuous-time Takagi-Sugeno (T-S) fuzzy system, and network-induced delays are represented using fuzzy rules which are designed by the parallel distributed compensation (PDC) technique. Then the norm-bounded uncertainty existing in model of the plant is considered, and corresponding state-feedback fuzzy controller is designed with guaranteed stability. Simulation result confirms the efficacy of the proposed fuzzy controller.