UC知道谁能帮我翻译一下,急!谢谢@!
来源：百度知道 编辑：UC知道 时间：2024/05/15 00:42:01
Abstract
A direct adaptive controller design using neural network is proposed for an unstable unmanned research aircraft similar in configuration to
combat aircraft. The control law to track the pitch rate command is developed based on system theory. Neural network with linear filters and back
propagation through time learning algorithm is used to approximate the control law. The bounded signal requirement to develop the neural
controller is circumvented using an off-line finite time training scheme, which provides the necessary stability and tracking performances. On-line
learning scheme is implemented to compensate for uncertainties due to variation in aerodynamic coefficients, control surface failures and also
variations in center of gravity position. The performance of the proposed control scheme is validated at different flight
A direct adaptive controller design using neural network is proposed for an unstable unmanned research aircraft similar in configuration to
combat aircraft. The control law to track the pitch rate command is developed based on system theory. Neural network with linear filters and back
propagation through time learning algorithm is used to approximate the control law. The bounded signal requirement to develop the neural
controller is circumvented using an off-line finite time training scheme, which provides the necessary stability and tracking performances. On-line
learning scheme is implemented to compensate for uncertainties due to variation in aerodynamic coefficients, control surface failures and also
variations in center of gravity position. The performance of the proposed control scheme is validated at different flight
摘要
直接自适应控制器的设计利用神经网络，提出了一个不稳定的无人驾驶飞机类似的研究在配置
作战飞机。控制法来追踪音高率命令是发达的基础上系统理论。神经网络与线性过滤器和回
繁殖的时间，通过学习算法是用来近似控制律。界信号的要求，发展神经
控制器是规避使用脱线有限时间的训练计划，提供必要的稳定性和跟踪性能。上线
学习计划的实施，以补偿由于不明朗因素的变化，在气动力系数，控制表面的失败和也
在变化的重心地位。表现所提出的控制计划，验证了在不同飞行