Results 91 to 100 of about 18,405 (198)

A kiterjesztett Kalman-szűrő kifejlesztése robotnavigációhoz

This paper explores advances in autonomous navigation, emphasizing its crucial role in self-driving vehicles, unmanned aerial vehicles, and spacecraft.
Ameh, Eineje
core  

Online parameter identification and state-of-charge estimation for lithium-ion batteries using chaos optimization and extended Kalman filtering

International Journal of Electrochemical Science
This work targets the long-standing drawbacks including insufficient precision and laggy real-time responsiveness plaguing online parameter identification and state-of-charge (SOC) prediction based on equivalent circuit models (ECMs) of lithium-ion ...
Yanzeng Gao, Donghui Xu, Haiou Wen, Wei Qiu   +3 more
doaj   +1 more source

Affine EKF: Exploring and Utilizing Sufficient and Necessary Conditions for Observability Maintenance to Improve EKF Consistency

Inconsistency issue is one crucial challenge for the performance of extended Kalman filter (EKF) based methods for state estimation problems, which is mainly affected by the discrepancy of observability between the EKF model and the underlying dynamic ...
Huang, Shoudong, Zhao, Liang, Song, Yang
core  

Modeling based SOC estimation for commercial EV Li-ion batteries under vibration conditions

Discover Electronics
Modeling-based adaptive estimation techniques, such as the extended Kalman filter (EKF), have been widely used for state of charge (SOC) estimation in Li-ion batteries due to their robustness and noise rejection capability.
Yuanyuan Xie, Jonghoon Kim, Shuo Wu, Woonki Na   +3 more
doaj   +1 more source

Slave-UUV Motion Analysis Using Mixed Coordinates EKF Algorithm

, 2009
在主从式UUV 协作系统中，由于定位和导航的需要，要求尽快估计出从UUV 的航行参数，但通常所用的递推最小二乘（RLS）算法，其初始方位测量对滤波结果影响大且存在收敛速度慢、计算精度低的缺点，难以满足应用需求，而推广卡尔曼滤波（EKF）算法能较好地克服上述问题。在直角坐标系下（CEKF），方位信息与距离信息相互耦合导致初始振荡剧烈，改为混合坐标系（MEKF）后问题得到了极大的改善。最后 ...
刘开周, 陈华雷
core  

Extended Kalman Filter (EKF)and Neural Network Based EKF : Comparison of simulation performance in state estimation for some nonlinear dynamical systems

 Bayesian filtering techniques play a crucial role in state estimation for dynamical systems, particularly in the presence of uncertainty and noise.
Berber, Ilayda
core   +3 more sources

Extended Kalman Filter Algorithm (EKF)

, 1989
An extended Kalman filter (EKF) algorithm is implemented on UNIVAC 1100/70. As an example, the longitudinal states, characterising the short period dynamics of an aircraft are obtained from noisy measured data.13; 13; This algorithm, with minor ...
Ramamoorthy, P
core  

A Variational Bayesian Constrained EKF for Sonar-Based Underwater Target Tracking in Shallow Water. [PDF]

Sensors (Basel)
Zhou H, Ding Y, Gao H, Wang G, Ge T, Zhang Y.   +5 more
europepmc   +1 more source

Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms. [PDF]

Sensors (Basel)
Merrick C, Nandikolla VK.
europepmc   +1 more source

Adaptive Kernel Density Soft-Gating for Robust GNSS/INS Georeferencing of Highly Dynamic Remote-Sensing Platforms Under Measurement Outliers. [PDF]

Sensors (Basel)
Feng K, Li J, Sun Z.
europepmc   +1 more source