针对着陆过程中动态方程的非最小相位特性，利用在线稳定逆产生用于着陆轨迹精确跟踪的前馈输入和状态参考轨迹。
Taking the problem of autonomous precise landing as an integration of trajectory tracking and robust control, precise landing control law was designed based on online stable inversion and SMC.
针对传统两轴稳定雷达导引头存在的不足，提出了前馈补偿解耦方案。
The feedforward compensated decoupling scheme was proposed to solve the deficiency of traditional two-axis stabilized radar seeker.
前馈技术因宽带、稳定等优点被广泛的运用于线性功放。
Feedforward is generally known as the best performing linearization technique for its advantages, such as broadband, stability, etc.
本文论述了用前馈补偿控制提高开环励磁系统稳定性问题。
This paper deals with the stability improvement of open-loop excitation system by using feedforward compensation control.
姿态随动稳定跟踪天线平台的控制算法，采用位置前馈、速度和位置反馈控制。
The control algorithm of attitude follow-up stabilization and tracking antenna platform adopts position feed-forward control, speed control and position feedback control.
PD反馈控制器用于使系统达到稳定，同时和前馈的神经网络学习控制器一起使系统达到理想的控制效果。
By PD controller which is used to make system more stable, the system can reach ideal control effects with the feed forward neural learning controller.
基于直接横摆力矩控制方法，设计了一种前馈—反馈补偿控制的车辆稳定性控制器。
Based on direct yaw moment control (DYC) method, the vehicle stability controller with a feedforward and feedback compensator is designed.
分别讨论了平台罗经和捷联垂直参考基准提供摇摆数据时前馈稳定的实现方法。
Discuss the methods to provide rock data of feedforward of gyrocompass and strap-down inertial system.
设计了前馈串级复合控制算法，设置了合理的控制参数，实现了系统的快速、稳定、准确控制。
Suitable control parameters are set. A rapid, steady and accurate control of the system is realized.
控制器加入线性前馈环节，提高了系统的稳定性。
A linear feedforward loop is put into the controller which can improve the stability of the system.
目的用前馈(BP)神经网络对过碳酸钠合成工艺进行研究，筛选新的复合稳定剂。
Objective To study the synthetic process of sodium percarbonate using Back Propagation Artificial Neural Network (BP-ANNS).
该系统是一种带前馈环节的复合闭环系统，它解决了稳定性与稳态精度的矛盾，提高了控制精度。
The system is a combined close loop system with forword feed control device. It can resolve the contradiction between stability and steady accuracy, and rise the control accuracy.
并通过分析转速输出曲线，提出了加入模糊速度前馈控制环的系统改进方案，系统稳定性得到较大提高。
An improvement which adds fuzzy speed feedforward controller to the system is described after analyzing the output curve of rotor speed. Remarkably, the stability of system is enhanced.
系统的不稳定零点给前馈控制器的设计带来了很大的困难。
The unstable zeros of a non minimum phase system are difficult problems for feedforward controller design.
因此本文根据机器人动力学模型的性质设计了一种利用机器人工作空间理想轨迹控制的自适应前馈控制方法，并对自适应控制下系统的稳定性进行了分析。
So an adaptive feed forward control method is proposed, this method basing on robot dynamics adopts ideal trajectory on workspace to control robot, its stability is analyzed.
因此本文根据机器人动力学模型的性质设计了一种利用机器人工作空间理想轨迹控制的自适应前馈控制方法，并对自适应控制下系统的稳定性进行了分析。
So an adaptive feed forward control method is proposed, this method basing on robot dynamics adopts ideal trajectory on workspace to control robot, its stability is analyzed.
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