EKF:扩展卡尔曼滤波器
“扩展卡尔曼滤波器”(Extended Kalman Filter)是卡尔曼滤波的一种非线性扩展形式,常被简称为EKF,方便在学术文献和工程应用中快速书写与引用。该滤波器在自动控制、信号处理和电子工程等领域应用广泛,主要用于对非线性系统进行状态估计和优化,有助于提升系统建模与数据分析的精确性。
Extended Kalman Filter具体释义
Extended Kalman Filter的英文发音
例句
- The extended Kalman filter, the iteration filter and the secondary filter are used to simulate the nonlinear system.
- 用卡尔曼滤波对线性系统进行仿真,用扩展卡尔曼滤波、迭代滤波、二次滤波对非线性系统仿真。
- A direct torque control system for IPMSM based on advanced extended Kalman filter ( EKE ) had been proposed.
- 提出了一种基于改进的扩展卡尔曼滤波器(EKF)(EKF)的永磁同步直接转矩控制方法。
- A method for estimating the parameters of incident wave angle and incident power by the use of the extended kalman filter is proposed.
- 提出了采用扩展卡尔曼滤波器(EKF)估计入射波参数(入射角度和入射功率)的方法。
- In this paper, we proposed an adaptive tracking technique, based on extended Kalman filter approach, to identify the structural parameters and their changes.
- 本文采用了一种基于广义卡尔曼滤波的自适应追踪技术对结构的参数进行辨识。
- The Monte-Carlo simulation shows that the square-root extended Kalman filter and the weighted least square can guarantee the filtering precision and reduce the filter divergence effectively.
- 蒙特卡罗仿真结果表明,平方根扩展卡尔曼滤波和加权最小二乘数据融合方法可以保证滤波精度,并且能有效抑制滤波发散。
本站英语缩略词为个人收集整理,可供非商业用途的复制、使用及分享,但严禁任何形式的采集或批量盗用
若EKF词条信息存在错误、不当之处或涉及侵权,请及时联系我们处理:675289112@qq.com。