Results 61 to 70 of about 5,324 (208)

A Novel Weighted Unscented Kalman Filter for Dynamic Load Identification

open access: yesStructural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
To address the limitations of traditional unscented Kalman filter (UKF)‐based algorithms—which typically require either additional displacement measurements or iterative optimization for load identification—this study proposes a fast and convenient load excitation identification algorithm.
Yanzhe Zhang   +4 more
wiley   +1 more source

Sideslip Angle Fusion Estimation Method of an Autonomous Electric Vehicle Based on Robust Cubature Kalman Filter with Redundant Measurement Information

open access: yesWorld Electric Vehicle Journal, 2019
Accurate and reliable estimation information of sideslip angle is very important for intelligent motion control and active safety control of an autonomous vehicle.
Te Chen   +5 more
doaj   +1 more source

Meshless cubature by Green’s formula [PDF]

open access: yesApplied Mathematics and Computation, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
SOMMARIVA, ALVISE, VIANELLO, MARCO
openaire   +1 more source

Efficient Hyperreduction for Large‐Scale Problems: Exploiting Reducible Constraint Manifolds in Empirical Quadrature Procedure

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 126, Issue 23, 15 December 2025.
ABSTRACT We develop efficient hyperreduction methods for projection‐based model reduction of nonlinear partial differential equations (PDEs) with a large number of parameters and/or large parametric extents. Our formulation is based on the empirical quadrature procedure (EQP), which solves an optimization problem that involves “residual‐matching ...
Adrian Humphry, Masayuki Yano
wiley   +1 more source

Cubature on C 1 Space [PDF]

open access: yes, 2013
We explore in this paper cubature formulas over the space of functions having a first continuous derivative, i.e., C1. We show that known cubature formulas are not optimal in this case and explain what is the origin of the loss of optimality and how to construct optimal ones; to illustrate we give cubature formulas up to (including) order 9.
openaire   +4 more sources

Gaussian cubature: A practitioner’s guide

open access: yesMathematical and Computer Modelling, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Devuyst, Eric A., Preckel, Paul V.
openaire   +1 more source

A probabilistic diagnostic for Laplace approximations: Introduction and experimentation

open access: yesCanadian Journal of Statistics, Volume 53, Issue 4, December 2025.
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley   +1 more source

High-degree spherical simplex-radial cubature quadrature Kalman filter

open access: yesTongxin xuebao, 2017
A high-degree spherica1 simp1ex-radia1 cubature quadrature Ka1man fi1ter(HDSSRCQKF)was proposed to improve the estimation accuracy of non1inear Ka1man fi1ter.The non1inear Gaussian weighted integra1 was decomposed into the spherica1 integra1 and radia1 ...
Zhao-ming LI   +3 more
doaj   +2 more sources

Computational Homogenization in Three‐Dimensional Magnetostatics Using Empirically Corrected Cluster Cubature (E3C) Hyper‐Reduction

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 126, Issue 22, 30 November 2025.
ABSTRACT The recently published hyper‐reduction method “Empirically Corrected Cluster Cubature” (E3C) is applied for the first time in three dimensions (here magnetostatics). The method is verified to give accurate results even for a small number of integration points, such as 15 for 3D microstructure simulations.
Hauke Goldbeck, Stephan Wulfinghoff
wiley   +1 more source

Adaptive Cubature Kalman Filter Based on the Expectation-Maximization Algorithm

open access: yesIEEE Access, 2019
A cubature Kalman filter is considered to be one of the most useful methods for nonlinear systems. However, when the statistical characteristics of noise are unknown, the estimation accuracy is degraded. Therefore, an adaptive square-root cubature Kalman
Weidong Zhou, Lu Liu
doaj   +1 more source

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