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Autodifferentiable Ensemble Kalman Filters
SIAM Journal on Mathematics of Data Science, 2022 Data assimilation is concerned with sequentially estimating a temporally evolving state. This task, which arises in a wide range of scientific and engineering applications, is particularly challenging when the state is high-dimensional and the state-space dynamics are unknown.
Yuming Chen +2 more
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Научный вестник МГТУ ГА, 2016 The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the
I. A. Kudryavtseva
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Estimation of Sideslip Angle Based on Extended Kalman Filter
Journal of Electrical and Computer Engineering, 2017 The sideslip angle plays an extremely important role in vehicle stability control, but the sideslip angle in production car cannot be obtained from sensor directly in consideration of the cost of the sensor; it is essential to estimate the sideslip angle
Yupeng Huang +3 more
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A Class of Quaternion Kalman Filters [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2014 The existing Kalman filters for quaternion-valued signals do not operate fully in the quaternion domain, and are combined with the real Kalman filter to enable the tracking in 3-D spaces. Using the recently introduced HR-calculus, we develop the fully quaternion-valued Kalman filter (QKF) and quaternion-extended Kalman filter (QEKF), allowing for the ...
Cyrus Jahanchahi, Danilo P. Mandic
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CoRR, 2015 17 pages, 14 figures: Fixed typo in Fig.
Rahul G. Krishnan +2 more
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Wavelet ensemble Kalman filters [PDF]
Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011 4 pages, 4 ...
Jonathan D. Beezley +2 more
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On the projective geometry of kalman filter [PDF]
2015 54th IEEE Conference on Decision and Control (CDC), 2015 6 ...
Francesca Paola Carli +1 more
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工程科学与技术, 2009 :The H∞ filtering is introduced because KALMAN filtering accuracy is not high or even divergent issues when system model is uncertain or noise statistics characteristics are not accurate.
Zhang Tao, 徐晓苏
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A review of issues in ensemble-based Kalman filtering
Meteorologische Zeitschrift, 2007 Ensemble-based data assimilation methods related to the fundamental theory of Kalman filtering have been explored in a variety of mostly non-operational data assimilation contexts over the past decade with increasing intensity. While promising properties
Martin Ehrendorfer
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, 2012 A robust extended Kalman filter (EKF) is proposed as a method for estimation of the state of charge (SOC) of lithium-ion batteries used in hybrid electric vehicles (HEVs). An equivalent circuit model of the battery, including its electromotive force (EMF)
jiang, J. +7 more
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