| 1. | I ? en we utilize the fuzzy set theory to model the tracking filter 然后,本文利用模糊集合理论来建立跟踪滤波器的模型。 |
| 2. | In the fourth part , the tracking filter for low - altitude radar target is studied 第四部分考虑了低空目标的雷达跟踪滤波技术。 |
| 3. | Method of order tracking filtering of rotating machinery based on zero - phase distortion digital filtering with segmentation overlap 基于分段重叠零相位滤波的阶比跟踪滤波法 |
| 4. | This paper researches the engine component tracking filter for model - based control system 本文研究用于基于模型控制( mbc . model - basedcontrol )系统的发动机部件跟踪滤波器技术。 |
| 5. | The research shows that the engine component tracking filter designed in this paper can work well with good convergence 在全包线范围内的仿真结果表明,发动机部件跟踪滤波器收敛性与跟踪性良好。 |
| 6. | Tacholess order tracking filtering for run - up or coast down vibration signal of rotating machinery based on zero - phase distortion digital filtering 无转速计旋转机械升降速振动信号零相位阶比跟踪滤波 |
| 7. | When kalman filtering cannot track efficiently the state with abrupt changes , mstkf switches to strong tracking filtering with varying softening factor 当卡尔曼滤波不能有效跟踪突变状态时, mstkf切换为可变弱化因子的强跟踪滤波。 |
| 8. | In the second part , a style of digital tracking filter is introduced , which is used in the phase steady system of a style of long - range rocket 最后,本文对机载伺服系统进行了初步设计。第二篇介绍用于某型远程火箭弹角稳系统的数字跟踪滤波器的研制。 |
| 9. | By changing the multiple time - varying fading factors of the strong tracking filter , mstkf switches between kalman filtering and strong tracking filtering 通过直接改变强跟踪滤波器的多重时变渐消因子, mstkf在卡尔曼滤波和强跟踪滤波两种工作状态之间切换。 |
| 10. | A slightly modified strong tracking filtering algorithm is used to estimate the reduced - order state vector , which is then used to estimate the nonlinear state function 采用一种稍加修改的强跟踪滤波算法估计降阶状态向量,然后利用降阶状态向量估计非线性状态函数。 |