Results 1 to 10 of about 1,778,758 (298)
Physica D: Nonlinear Phenomena, 2001 The Kalman filter combines forecasts and new observations to obtain an estimation which is optimal in the sense of a minimum average quadratic error.
Ahn +16 more
core +4 more sources
A review: state estimation based on hybrid models of Kalman filter and neural network
Systems Science & Control Engineering, 2023 In this paper, hybrid models of Kalman filter and neural network for state estimation are reviewed of their corresponding academic achievements, the creation of which is a noteworthy development in state estimation.
Shuo Feng +5 more
doaj +2 more sources
Comparisons on Kalman-Filter-Based Dynamic State Estimation Algorithms of Power Systems
IEEE Access, 2020 The Kalman-filter-based algorithms as the mainstream algorithms of dynamic state estimation of power systems have been extensively used to provide accurate data for power system applications. However, few comparisons are made to show their advantages and
Hui Liu +4 more
doaj +2 more sources
Online Natural Gradient as a Kalman Filter [PDF]
, 2017 We cast Amari's natural gradient in statistical learning as a specific case of Kalman filtering. Namely, applying an extended Kalman filter to estimate a fixed unknown parameter of a probabilistic model from a series of observations, is rigorously ...
Ollivier, Yann
core +2 more sources
MIMU/BDS Integrated Navigation Technology Based on Smooth Variable Structure-Adaptive Kalman Filter [PDF]
Hangkong bingqi, 2021 In order to improve the accuracy of MIMU/BDS integrated navigation with uncertain models and large disturbances, a smoothing variable structure-Kalman combined filter information fusion method is proposed.
Li Can, Shen Qiang, Qin Weiwei, Duan Zhiqiang, Wang Lixin
doaj +1 more source
AN APPROACH ON ADVANCED UNSCENTED KALMAN FILTER FROM MOBILE ROBOT-SLAM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In the past 30 years, Kalman filter is a classical method to solve the problem of simultaneous localization and mapping (SLAM) of mobile robots. Extended Kalman filter (EKF) and unscented Kalman filter (UKF) are derived from Kalman filter.
L. Yan, L. Zhao
doaj +1 more source
FAST-LIO: A Fast, Robust LiDAR-Inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter [PDF]
IEEE Robotics and Automation Letters, 2020 This letter presents a computationally efficient and robust LiDAR-inertial odometry framework. We fuse LiDAR feature points with IMU data using a tightly-coupled iterated extended Kalman filter to allow robust navigation in fast-motion, noisy or ...
W. Xu, Fu Zhang
semanticscholar +1 more source
InPrime, 2022 This research explains a comparison estimation for AUV position using Kalman Filter (KF), Ensemble Kalman Filter (EnKF), and Fuzzy Kalman Filter (FKF) algorithm in some specified trajectories.
Ngatini Ngatini +2 more
doaj +1 more source
Kalman Filter and Its Application in Data Assimilation
Atmosphere, 2023 In 1960, R.E. Kalman published his famous paper describing a recursive solution, the Kalman filter, to the discrete-data linear filtering problem.
Bowen Wang +4 more
doaj +1 more source
TWO-STAGE CUBATURE KALMAN FILTERAND ITS APPLICATION IN WATER POLLUTION MODEL [PDF]
Acta Scientifica Malaysia, 2018 Water Pollution Model is a nonlinear system which present the random bias. The most common method is to use augmented state Cubature Kalman Filter, but the computational requirement of augmented state Kalman filter may become excessive.
Zhang, Xu, Wang
doaj +1 more source