Results 61 to 70 of about 26,219 (311)
Application of Strong Tracking Modified SRCKF Algorithm in Single Observer Passive Tracking [PDF]
Jisuanji gongcheng, 2016 In order to improve the performance of Square Root Cubature Kalman Filtering(STSRCKF) algorithm to track maneuvering target in single observer passive tracking,a Strong Tracking Modified SRCKF(ST-MSRCKF) algorithm is presented.Target state variables and ...
ZHANG Zhuoran,YE Guangqiang,ZHAO Xiaolin
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Volatility estimation for COVID-19 daily rates using Kalman filtering technique
Results in Physics, 2021 This paper discusses the use of stochastic modeling in the prognosis of Corona Virus-Infected Disease 2019 (COVID-19) cases. COVID-19 is a new disease that is highly infectious and dangerous.
Md Al Masum Bhuiyan +3 more
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Mixed H2/H∞ filtering for uncertain systems with regional pole assignment [PDF]
, 2005 Copyright [2005] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z +4 more
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Differentially private Kalman filtering [PDF]
2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012 9 pages.
Jerome Le Ny, George J. Pappas
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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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Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Measurement of ship's magnetization parameters based on Kalman filtering method
Zhongguo Jianchuan Yanjiu, 2022 ObjectivesThis study proposes a measurement scheme based on the Kalman filtering method for improving efficiency and lowering complexity in measuring the magnetization parameters of shipboard three-component geomagnetic field measurement systems ...
Hui YAN, Guohua ZHOU
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On the convergence of the ensemble Kalman filter [PDF]
Applications of Mathematics, 2011 Convergence of the ensemble Kalman filter in the limit for large ensembles to the Kalman filter is proved. In each step of the filter, convergence of the ensemble sample covariance follows from a weak law of large numbers for exchangeable random variables, the continuous mapping theorem gives convergence in probability of the ensemble members, and $L^p$
Mandel, Jan +2 more
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model
Sensors, 2020 The control effect of various intelligent terminals is affected by the data sensing precision. The filtering method has been the typical soft computing method used to promote the sensing level. Due to the difficult recognition of the practical system and
Yu-ting Bai +4 more
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