Neural network PID adaptive control scheme was used to enhance the performance of piezoelectric phase shifter by improving the nonlinear performance and depressing the interference of environment.

采用了神经网络PID自适应控制方法，改善了 非线性，降低了环境干扰的影响，提高了压电式 移 相器的性能。

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Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.

针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。

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This paper presents an adaptive PID control scheme based on dynamic recurrent neural network. The control system is consisted of the neural network identifier and the neural network controller.

提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。

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