基于网络的开放式结构和嵌入式结构的通用运动控制器逐步成为自动化控制领域里的主导产品之一。
General movement controller, which is based on the open and embedded structure of Internet, is gradually becoming one of the main products in automatic control field.
采用模糊神经网络结合常规PD控制器的方法来进行机器人的运动控制，提出了提取模糊规则的方法。
Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.
探讨了用于运动控制的单神经元pid控制器的结构与基于BP网络的模糊自适应PID控制。
The structure of single neuron PID controller for motion control and the fuzzy adaptive PID control based on BP networks are researched on.
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