Using dynamic recurrent neural networks as identification and controller, the minimum error control of robot tracking the idea locus is implemented.
采用动态对角回归神经网络作为辨识器和控制器，实现了机器人轨迹跟踪的最小误差控制。
The single chip microcomputer controller takes charge of processing position & velocity data, limitation data and keystroke identification.
单片机控制器负责按键识别、限位信号以及位置速度信号的数据处理；
The algorithm makes use of discrete model given by plant identification directly, deduces discrete internal model controller, and is used in computer control of industry manufacture directly.
该算法直接利用对象辨识给出的离散模型，导出离散的内模控制器，直接用于工业生产的计算机控制。
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