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带神经网络辨识器的鲁棒控制器设计。
在神经网络辨识的基础上,提出一种新的鲁棒迭代学习控制方法。
Using identification of neural networks, a new method of robust iterative learning control algorithm is proposed in the paper.
理论证明,只要神经网络辨识模型的精度足够高,就会获得很好的控制精度。
It is proved that the control performance is very well under the enough accuracy of the identification model.
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