建立了CMAC网络补偿器对视觉阻抗控制输出量进行了优化，最后进行了运动目标捕捉控制仿真实验。
With CMAC network compensator, the output of vision impedance control is optimized. Finally, the simulation of control experiment of grasping moving object is carried out.
该综合器由偏振器、多块具有电光效应的双折射晶体和补偿器组成，输入余弦信号，组成一多级电光双折射网络。
When a cosine function voltage is applied on the electro-optical crystals, this system acts as a multiple electro-optical birefringent network for synthesis of time domain waveform.
利用人工神经网络，讨论了线性定常控制系统关于状态反馈、输出反馈及动态补偿器的极点配置问题。
By Using an artificial neural network, the pole assignment problem of state feedback, output feedback and dynamic output feedback compensators in linear control system are discussed.
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