Results 51 to 60 of about 425,572 (237)
On credibility and robustness with the Kalman filter [PDF]
, 1995 Bühlmann (1967) gave a formal Bayesian derivation of the credibility ratio estimators that actuaries had been using for many years. Since then various generalizations of Bühlmann's model have appeared in the literature, each relaxing the i.i.d ...
Garrido, José +3 more
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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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Boundary Value Problems Arising in Kalman Filtering
Boundary Value Problems, 2009 The classic Kalman filtering equations for independent and correlated white noises are ordinary differential equations (deterministic or stochastic) with the respective initial conditions.
Sinem Ertürk +2 more
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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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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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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
openaire +4 more sources
Estimating Time-Varying Effects of Prognostic Factors for Stomach Cancer Patients within a Dynamic Grouped Cox Model [PDF]
, 1996 We describe the identification of prognostic factors in the framework of a completely resected stomach cancer survival-study. For the analysis the dynamic grouped Cox-Model was used allowing for time-varying covariate effects.
Nekarda, H. +2 more
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An Adaptive Unscented Kalman Filtering Algorithm for MEMS/GPS Integrated Navigation Systems
Journal of Applied Mathematics, 2014 MEMS/GPS integrated navigation system has been widely used for land-vehicle navigation. This system exhibits large errors because of its nonlinear model and uncertain noise statistic characteristics.
Jianhua Cheng +4 more
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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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Attitude Estimation Algorithm of Portable Mobile Robot Based on Complementary Filter
Micromachines, 2021 In robot inertial navigation systems, to deal with the problems of drift and noise in the gyroscope and accelerometer and the high computational cost when using extended Kalman filter (EKF) and particle filter (PF), a complementary filtering algorithm is
Mei Liu +3 more
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