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利用神经网络对具有纯滞后的被控对象建立了具有Ｓｍｉｔｈ预估器的ＰＩＤ控制系统。仿真表明，这种控制结构对具有不确定性和纯滞后的复杂系统，有良好的控制效果。
A neural network is used to set up PID control system with Smith predictor for the controlled object with pure hysteresis. Simulation shows that this control structure has a good control effect for complex systems with uncertainties and pure hysteresis.