The parameter of fuzzy member function can be corrected with the neural network as result that the model can simulate the driver with individuation.

通过神经网络学习，修正模糊隶属函数参数值，可模拟不同类型的驾驶员。

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In order to improve the track accuracy of the system, the on-line identification parameter method is used and the parameters of controller can be corrected instantly.

为了提高系统的跟踪准确度，笔者提出在线辨识参数的改进无差拍控制策略。

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According to engineering design method a double closed-loop DC motor control system was designed, a modulator structure was selected and computed, and its parameter was corrected.

采用工程设计方法对双闭环直流调速系统进行辅助设计，选择调节器结构，进行参数计算和近似校验。

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