【摘要】 神经网络技术在自动控制领域得到广泛应用。鉴于空中交通管制的理论及技术特点,本文探讨了实现飞行间隔预测控制的神经网络模型及技术条件,尤其是提出了在多扰动环境中飞机速度、位移函数的构建方法,借助Matlab工具实现了仿真和验证。结果证明,神经网络的自学习功能能够很好地处理这类复杂的控制问题。更多还原

【Abstract】 Neural networks (NN) is successfully used in control system in recent years. Considering the theory of air traffic control (ATC) and its technological characteristics, this paper proposes NN model of predicting control of horizontal interval and technological terms in ATC, especially propose the construction method on the speed of plane, displacement function in many perturbation environment. We also realize the simulation and proof in Matlab. Experiment results show that this kind of complicated control problem can be well dealt with through teaching oneself function of NN.更多还原