neural network pid control algorithm 神经网络pid控制算法
A new neural network controller is proposed based on the PID controller structure. Its basic structures and learning algorithm are analysed.
根据PID控制结构提出了一种新型神经网络控制器,对其基本结构和学习算法等进行了分析。
The paper proposes an adaptive neural network PID controller based on weighlearning algorithm using the gradient descent method for the AC position servosystem of binding and printing.
针对包装印刷传动位置伺服系统,介绍一种基于共轭梯度学习算法的神经网络自适应PID控制方法。
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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