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The neural network adaptive attitude control system is designed based on model reference adaptive control theory and combination of online neural network with augmented model inversion.
首先根据模型参考自适应控制理论，将模型逆与在线神经网络结合，设计了神经网络自适应姿态控制系统。
An adaptive neural network attitude control system is designed based on model reference adaptive control theory and combination of online neural network with augmented model inversion in this paper.
本文根据模型参考自适应控制理论，将旋转动力学逆与在线神经网络结合，设计了自适应姿态控制系统。
Model reference control and repetitive control were applied in multi-channel electric hydraulic synchron-force servo loading system, and a new control method based on online learning was put forward.
将模型参考控制和重复控制相结合应用到多通道电液力同步加载系统中，提出了一种在线学习控制的新方法。
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