Results 1 to 10 of about 75,448 (316)
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 +3 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 +3 more sources
Maximum correntropy Kalman filter [PDF]
Automatica, 2017 Traditional Kalman filter (KF) is derived under the well-known minimum mean square error (MMSE) criterion, which is optimal under Gaussian assumption. However, when the signals are non-Gaussian, especially when the system is disturbed by some heavy-tailed impulsive noises, the performance of KF will deteriorate seriously.
Badong Chen, Xi Liu, Haiquan Zhao
exaly +4 more sources
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
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
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
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
The Salted Kalman Filter: Kalman filtering on hybrid dynamical systems
Automatica, 2021 Many state estimation and control algorithms require knowledge of how probability distributions propagate through dynamical systems. However, despite hybrid dynamical systems becoming increasingly important in many fields, there has been little work on utilizing the knowledge of how probability distributions map through hybrid transitions.
Nathan J. Kong +3 more
openaire +2 more sources
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. The Kalman filter has two main restrictions: (i) the dynamical system is assumed linear and (ii) forecasting errors and observational noises are taken Gaussian.
Sornette, Didier, Ide, Kayo
openaire +3 more sources
IEEE Access, 2021 We present an approach which combines the sample regenerating particle filter (SRGPF) and unequal weight ensemble Kalman filter (UwEnKF) to obtain a more accurate forecast for nonlinear dynamic systems.
Xiao Li, Ai Jie Cheng, Hai Xiang Lin
doaj +1 more source