In order to conveniently process the time-varying delay of networked control system,time delay real-time online prediction by time-stamped BP neural network was applied in each sampling period. Mathematic model of the brushless DC motor drive system using networked control was obtained and discrete state equations of the system were derived. Based on integration of the production of time and absolute error (ITAE) rule an initial optimization design method was given；For the sake of compensation and suppression for the effects of measurement noise, load disturbance, and model perturbation,the state variables estimation by Kalman filter theory was applied and an optimal feedback control matrix based on Lyapunov stability theory was deduced for this system. Eventually, an additional optimization of networked control system was realized. Simulation demonstrates that the static performance,dynamic responses,and capacity of resisting disturbance of system can be obviously improved．
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