A research has been conducted on the problem of network tracking control for a class of nonlinear systems based on T-S fuzzy model. By adopting the input-delay method, a T-S fuzzy model nonlinear system tracking error model has been established, with network-induced delay and packet loss taken into consideration. Furthermore, by using the information of the sampling interval [tk, tk+1), a new bilateral closed-loop Lyapunov-Krasovskii (L-K) functional is proposed, followed by an application of the proposed L-K functional and free-matrix-based integral inequality, thus obtaining the stability criterion for H∞ tracking control of nonlinear network systems and the design of the controllers. The simulation results show that under the same network conditions, the designed fuzzy controller has a significantly smaller tracking errors than that of the existing literature; under the same H∞ tracking performance requirements, the proposed method is characterized with a larger upper bound of input delay than the existing methods, indicating that the proposed method is less conservative than the existing methods.