Two neural networks are used, the inversion of nonlinear systems is realized by off-line trained NN1, on-line NN2 is used to compensate inversion error and varieties of system dynamic property.
设计中使用了2个神经网络,经离线训练的NN1实现非线性系统的逆,在线网络NN2用于补偿逆误差和系统的动态特性变化。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
基于神经网络动态逆方法,给出了一种非线性模型参考自适应跟踪控制方案。
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