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。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
应用推荐