根据电液伺服系统的故障特点，本文提出了采用模糊神经网络做在线辨识器的容错控制方案。
According to fault characteristic of the electro hydraulic servo system, this paper has proposed a fault tolerant project that USES the fuzzy neural network as an identifier on-line.
该系统通过一个小型发电机（脉冲发生器）来产生电刺激以阻断大脑中的异常神经信号。
The Reclaim system uses a small electrical generator known as a pulse generator to create electrical stimulation that blocks abnormal nerve signals in the brain.
分析了电涡流缓速器的输出制动力矩在低、高速时的特性，提出了数学模型与神经网络模型切换点的选择方法。
The characteristics of eddy current retarder were analyzed at low and high velocity respectively. A selecting method for switch point between mathematical model and neural network was proposed.
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