基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
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。
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。
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.
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