Results 11 to 20 of about 5,324 (208)
IEEE Transactions on Automatic Control, 2009 In this paper, we present a new nonlinear filter for high-dimensional state estimation, which we have named the cubature Kalman filter (CKF). The heart of the CKF is a spherical-radial cubature rule, which makes it possible to numerically compute multivariate moment integrals encountered in the nonlinear Bayesian filter. Specifically, we derive a third-
I. Arasaratnam, S. Haykin
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Applied Sciences, 2023 For nonlinear systems, both the cubature Kalman filter (CKF) and square-root cubature Kalman filter (SCKF) can get good estimation performance under Gaussian noise. However, the actual driving environment noise mostly has non-Gaussian properties, leading
Pingshu Ge +4 more
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UWB Localization Based on Improved Robust Adaptive Cubature Kalman Filter. [PDF]
Sensors (Basel), 2023 Aiming at the problems of Non-Line-of-Sight (NLOS) observation errors and inaccurate kinematic model in ultra-wideband (UWB) systems, this paper proposed an improved robust adaptive cubature Kalman filter (IRACKF).
Dong J, Lian Z, Xu J, Yue Z.
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CECM: A continuous empirical cubature method with application to the dimensional hyperreduction of parameterized finite element models [PDF]
Computer Methods in Applied Mechanics and Engineering, 2023 We present the Continuous Empirical Cubature Method (CECM), a novel algorithm for empirically devising efficient integration rules. The CECM aims to improve existing cubature methods by producing rules that are close to the optimal, featuring far less ...
J. A. Hernández +2 more
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Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements. [PDF]
Sensors (Basel)Handling the challenge of missing measurements in nonlinear systems is a difficult problem in various scientific and engineering fields. Missing measurements, which can arise from technical faults during observation, diffusion channel shrinking, or the ...
Sahl S, Song E, Niu D.
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Numerical cubature on scattered data by adaptive interpolation [PDF]
Journal of Computational and Applied Mathematics, 2023 We construct cubature methods on scattered data via resampling on the support of known algebraic cubature formulas, by different kinds of adaptive interpolation (polynomial, RBF, PUM).
R. Cavoretto +6 more
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IEEE Transactions on Instrumentation and Measurement, 2023 Accurate estimation of dynamic states is the key to monitoring power system operating conditions and controlling transient stability. The inevitable non-Gaussian noise and randomly occurring denial-of-service (DoS) attacks may, however, deteriorate the ...
Yi Wang +5 more
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Nontensorial Clenshaw–Curtis cubature [PDF]
Numerical Algorithms, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
SOMMARIVA, ALVISE +2 more
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IEEE Transactions on Vehicular Technology, 2023 State-of-charge estimation is an essential part of a battery management system. Charging and discharging batteries involve complex chemical processes that could lead to undesired consequences, such as premature end of life or fire hazards if the battery ...
Ishaq Hafez +3 more
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IET Radar, Sonar & Navigation, 2023 The existing adaptive Kalman filters for tracking manoeuvring targets by wireless sensor networks can easily lose robustness when both the measurement and process noises are unknown and time‐varying, resulting in large positioning errors.
Xuming Fang, Dandan Huang
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