The base control law is designed in dynamic inversion and neural networks are used to reconstruct inversion error.
基本控制律采用非线性动态逆方法设计，神经网络用于对逆误差进行重构。
The dynamic inversion controller is used to eliminate the nonlinearity and the online neural net is used to compensate the state error caused by the elimination imprecision.
动态逆控制器用来对消无人机的非线性，在线神经网络补偿对消不精确引起的状态误差。
The base control law is designed in nonlinear dynamic inversion, and neural networks are used to cancel the inversion error induced by many reasons, especially by actuator failures.
飞机的基本控制律采用非线性动态逆方法设计，对于模型不准确和舵面故障等因素导致的逆误差采用神经网络进行在线补偿。
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。
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。
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