实验数据表明该控温电路动态过程快，稳态偏差小。
The experiment result indicates that this thermostatic control system contains the merits of quickly dynamic process and little steady-state deviation.
介绍了一种模糊与神经网络相结合的控制方法，借以克服模糊控制存在稳态偏差的不足和神经网络对小偏差信号不敏感的缺陷。
The fuzzy and neural networks combined control overcomes the stable state error of the fuzzy control and the poor-sensitivity of the neural networks to minor system error.
实现了阶跃输入时的实际转速对给定转速的跟踪，而且稳态时无偏差。
The actual rotary speed during the stage jump input period could trace the given rotary speed and there was no error during the stabilized period.
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