Results 61 to 70 of about 5,324 (208)
A Novel Weighted Unscented Kalman Filter for Dynamic Load Identification
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
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]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
SOMMARIVA, ALVISE, VIANELLO, MARCO
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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
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.
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Gaussian cubature: A practitioner’s guide
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Devuyst, Eric A., Preckel, Paul V.
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A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
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
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
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
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

