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提出了一种基于神经网络的自适应控制方案，这种方案能够在对被控对象几乎没有先验知识的情况下对其实施有效的控制，对一个具有不稳定机翼摇摆问题的薄三角翼飞机模型的仿真证实了本方法的有效性。
An adaptive control scheme based on neural network is proposed. This scheme can effectively control the controlled object with little or no prior knowledge. For a thin delta wing with unstable wing sway problem, The simulation of aircraft model confirms the validity of this method.