1·The model of the power system state estimation is generalized.
对电力系统状态估计的模型进行了归纳。
2·Effect of random sampling number on state estimation is discussed.
本文对随机抽样数目对状态估计结果的影响进行了讨论。
3·Lane state estimation is the key function of driver assistant system.
车道状态估计是车辆辅助驾驶系统的关键功能。
4·State estimation of singular discrete-time linear systems is discussed.
讨论了线性离散奇异系统的状态估计问题。
5·After performing Kalman filter, the optimal state estimation can be obtained.
进行卡尔曼滤波后，可以获得系统状态最优估计值。
6·This paper presents an algorithm for dynamic state estimation of power systems.
本文介绍了一种电力系统动态状态估计的算法。
7·A new fast decoupled state estimation method is presented for distribution systems.
本文提出了一种新的快速解耦配电网状态估计算法。
8·By introducing state transformation, a reduced-order state estimation form is achieved.
通过引入状态变换，得到了一类降阶形式的状态估计问题。
9·The state estimation error is proved to asymptotically approach zero with the Lyapunov method.
基于李亚普诺夫方法，证明了状态估计误差渐近稳定且渐近收敛到零。
10·A method of adaptive output feedback control is studied which does not rely on state estimation.
研究了一种不依赖状态估计的自适应输出反馈控制方法。