| 1. | Aerospace automatic landing
航空航天自动着陆系统 |
| 2. | Als , automatic landing system
自动着陆装置 |
| 3. | Secondly , the method of feedback linearization is adopted to design the automatic landing system
即在保证控制精度的同时，提高闭环系统的鲁棒性。 |
| 4. | Firstly , the method of feedback linearization is adopted to design the automatic landing system
论文将非线性系统反馈精确线性化方法应用在飞机自动着陆系统的设计上。 |
| 5. | Automatic landing system of airplane using adaptive inverse control . traffic accidents occur during landing frequently
自适应逆控制方法在飞机自动着陆系统中的应用。 |
| 6. | The control system for longitudinal automatic landing of an aircraft was designed with the methods of feedback linearization and improved fuzzy control
使用反馈线性化与改进的模糊控制方法设计飞机纵向自动着陆控制系统。 |
| 7. | Applying the direct feedback linearization ( dfl ) method to design the aircraft automatic landing control system model that is overall non - linearization
摘要应用直接反馈线性化的方法来设计非线性飞机模型自动着陆全面控制系统。 |
| 8. | Simulation results show that the control system can satisfy the requirement of longitudinal automatic landing of an aircraft , and has excellent dynamic , static and robustness performances
仿真表明，该控制系统能满足纵向着陆误差要求，具有良好的动、静态特性和鲁棒性。 |
| 9. | Adaptive inverse control is applied in the design of automatic landing system and robustness is verified . good simulation results are obtained . at last , nnai is contrasted with the system adopting fuzzy control after linearization
本文以某国产飞机为对象，采用自适应逆控制的方法，设计飞机纵向自动着陆控制系统并仿真，还对所设计的系统进行了鲁棒性验证仿真。 |
| 10. | This thesis combines artificial neural networks ( nn ) with adaptive inverse control ( nnai ) on the basis of analyzing their principle and characteristics , and applies them in the control of nonlinear system . an application in the design of automatic landing is shown
本文在深入分析了神经网络和自适应逆方法的原理与特点的基础上，将神经网络与自适应逆方法相结合，着重研究了将这种方法应用于非线性系统的控制问题，最后，用飞机自动着陆的过程，验证了神经网络自适应逆方法的效果。 |
