基于系统辨识的神经网络灵敏度，提出了降低用于控制系统中神经网络灵敏度的一种方法。
Based on the sensitivity of neural network of system identification, a method of descending neural network sensitivity in control systems is proposed in this paper.
本文分析了闭环系统动态品质与线性最优控制权矩阵Q之间的内在关系，提出了一种线性最优控制系统权矩阵Q新的灵敏度选取法。
The paper analyses the relations between closed-loop system dynamic qualities and linear optimal control weighting matrix Q and offers a sensitivity method for selecting weighting matrix Q.
本文分析了闭环系统动态品质与线性最优控制权矩阵Q之间的内在关系，提出了一种线性最优控制系统权矩阵Q新的灵敏度选取法。
The paper analyses the relations between closed-loop system dynamic qualities and linear optimal control weighting matrix Q and offers a sensitivity method for selecting weighting matrix Q.
应用推荐