基于汽车领域的神经网络动态矩阵的误差补偿控制研究

摘要

基于预测控制算法的动态矩阵控制理论，改进得到了算法模型的误差相关矩阵，给出约束多变量DMC模型以及神经网络误差补偿的动态矩阵控制验证，在误差控制仿真验证中，应用神经网络误差补偿的预测控制效果优势明显，这一研究对模糊预测技术的进一步推广应用有一定的促进作用。%Error correlation matrix of the improved algorithm model is acquired based on dynamic matrix control theory of prediction control algorithm. The constraint multivariable DMC model is provided,and the dynamic matrix control with neural network error compensation is verified. Simulation and verification of error control show that the prediction control effect applied with neural network error compensation has obvious advantages. The research has certain promotion function to generalization and application of the fuzzy prediction technology.