1) H∞suboptimal filter
H∞次优滤波器
1.
A TCP window controller(HIF TCP) based on H∞suboptimal filter is proposed to solve the network congestion.
针对网络拥塞问题,给出了一种基于H∞次优滤波器的TCP窗口控制器(HIF TCP)。
2) H_∞ filter
H∞滤波器
1.
Based on the better transient and robust performance of the finite-horizon H_∞ filter, the parameter of each single LFM signal is estimated in case of the unknown noise.
针对未知噪声的情况,利用有限长H∞滤波器的良好瞬时特性和鲁棒特性,对每个单分量线性调频信号的参数进行估计,进而实现多分量线性调频信号参数估计。
2.
The H_∞ filter is robust to the uncertain disturbance of the system.
由于H∞滤波对系统的不确定性干扰具有很强的鲁棒性,因此本文将机翼的弹性变形视为姿态匹配传递对准中量测的不确定性干扰,并且设计了姿态匹配传递对准的H∞滤波器。
3.
In this paper, a low-cost dynamic measurement unit (DMU) and GPS are integrated by using H_∞ filter.
以H∞滤波器为基础 ,研究了GPS与一种低成本微机械惯性测量单元的组合算法。
3) H∞ filter
H∞滤波器
1.
A minimum mean variance data fusion algorithm using H∞ filter based on active/passive radar was proposed.
提出一种基于H∞滤波器的主被动雷达的最小方差数据融合算法。
2.
A H∞ filter is designed as a residual generator to make the error between residual and the weighting function matrix of the fault as small as possible.
设计H∞滤波器作为残差产生器,使残差与故障加权之间的误差尽可能小。
3.
A minimum mean variance data fusion algorithm using H∞ filter based on active/passive radar was proposed.
提出一种基于H∞滤波器的主被动雷达的最小方差数据融合算法。
4) sup-optimal Sage filter
次优Sage滤波器
5) Suboptimal Kalman filer
次优Kalman滤波器
6) sub-optimal filter
次优滤波
1.
To realize system exact control,get actual states of controlled device,eliminate the dithering influence caused by dynamic noise and measure noise,enhance smoothness of response,this paper designs a sub-optimal filter,which has less numeration and much better real-time response better than kalman,and thus .
设计了计算量小、实时性好于Kalman滤波器的次优滤波器,从而实现倒立摆的快速平稳控制。
补充资料：输出反馈(见线性二次型次优控制)
输出反馈(见线性二次型次优控制)
output feedback
3h日c卜口fon以以{输出反馈型次优控制。(output王eedbaek)见线性二次
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条