To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
According to problems of plasma consistency with lag and big interference, a dynamic matrix prediction based on single neuron PID control algorithm is present.
针对配浆浓度控制过程存在的滞后、大干扰等问题，提出一种基于动态矩阵预测的单神经元pid配浆浓度控制算法。
The control strategy of prediction for a linear model based on BP-PID was introduced to improve control effect and to decouple the looper system.
采用线性预测模型的BP神经网络PID控制策略以减弱系统的耦合影响，以提高控制效果。
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