For solving the problem of network-induced delay, uncertain parameters and outer disturbances in networked control systems (NCS), a novel adaptive fuzzy sliding mode predictive control (AFSMPC) method is proposed in this paper. The presented sliding mode surface includes a predictor to compensate for the network-induced delay of the NCS. Then, a fuzzy logic system is designed to mimic the good behaviour of a total sliding-mode predictive control system. And the designed adaptive algorithms are developed in the sense of the Lyapunov stability theorem, so that systemtracking stability can be guaranteed. Finally, the proposed control scheme is applied to the networked launch vehicle attitude control system, and its advantages are indicated in network-induced delays compensated, reduced chattering, stable performance and robustness to uncertainties.