针对机器人动力学模型的不确定性和负载扰动，提出了一种采用神经网络的机器人迭代学习控制方法。

Aiming at dynamic model uncertainties and load disturbances of robot manipulators, an iterative learning control scheme using neural networks is presented.

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飞机液压系统作为飞机飞行控制系统和起落架等负载的动力源，对飞机的安全飞行起着关键的作用。

As the power source of the aircraft flight control system and landing gear loads, aircraft hydraulic system plays a key role for the safety of aircraft flying.

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以上三种控制方案，不仅能有效地控制半浮芯棒的速度，还能适用于其它场合动力性负载的速度控制。

The three schemes for feed control not only effectively control the feed speed of the semi-floating plug but also suit the speed control ofd...

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