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本文提出了一种改进的神经网络的控制方法。该方法引入一个神经网络辩识器同时作为神经网络控制器的输出层，从而可以直接通过系统的期望输出和实际输出之差来调节神经网络控制器的权值，更好地适应对象的非线性和变化。
This paper presents an improved method of neural network control. This method introduces a neural network recognizer as the output layer of the neural network controller at the same time, so that the weight of the neural network controller can be adjusted directly by the difference between the expected output and the actual output of the system to better adapt to the nonlinearity of the object And change.