A full distributed control method for a class of nonlinear systems modeling by standard neural network models(SNNM) is proposed based on a wireless control network(WCN). The uncertainties of wireless communication links in WCN is modeled described by confidence factors. The stability analysis of the wireless networked control system(WNCS) is transferred into a convex optimization problem with linear matrix inequality(LMI) constraints via the Lyapunov theorem and Lur’e system approach. By solving the convex optimization problem using CVX, the configuration parameters of WCN for guaranteeing global asymptotic stability of closed-loop system are obtained. Finally, the simulation results show the correctness and effectiveness of the proposed control strategy