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将递归神经网络对于阶未知的非线性对象或具有未知延迟的系统辨识能力与ＰＩＤ控制的有效性相结合，构成了一种基于递归神经网络的自适应ＰＩＤ控制系统，对气动脉宽调制位置伺服系统进行控制，使系统获得了一定的在线自我调整能力，提高了系统的性能。
Combining the recurrent neural network (ANN) with unknown unknown nonlinear objects or the system identification ability with unknown delay and the effectiveness of PID control, an adaptive PID control system based on recurrent neural network System control, the system has been a certain amount of online self-adjusting ability to improve system performance.