Results 101 to 110 of about 13,253 (243)

A probabilistic diagnostic for Laplace approximations: Introduction and experimentation

Canadian 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

Adaptive and robust fractional gain based interpolatory cubature Kalman filter

Measurement + Control
In this study, we put forward the robust fractional gain based interpolatory cubature Kalman filter (FGBICKF) and the adaptive FGBICKF (AFGBICKF) for the development of the state estimators for stochastic nonlinear dynamics system.
Jing Mu, Feng Tian, Jianlian Cheng
doaj   +1 more source

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

International 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

Modified Gauss-Legendre, Lobatto and Radau cubature formulas for the numerical evaluation of 2-D singular integrals

International Journal of Mathematics and Mathematical Sciences, 1983
A numerical technique, first reported in 1979 in refs.[1] and [2], for the numerical evaluation of two-dimensional Cauchy-type principal-value integrals, is extended in this paper to include several cubature formlas of the Radau and Lobatto types.
P. S. Theocaris
doaj   +1 more source

Cross-product cubature error bounds [PDF]

Mathematics of Computation, 1970
This paper is concerned with cross-product cubature rules. We use Sard’s Kernel Theorem [ 10 ] [10] to express the cross-product cubature error in terms of one variable kernels. This simplified representation of the error is then used to derive cubature error bounds analogous to those obtained by Secrest and ...
openaire   +2 more sources

Sensorless control of PMSM using an adaptively tuned SCKF

The Journal of Engineering, 2019
This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath, Prasad Das Shyama   +1 more
doaj   +1 more source

An Adaptive Cubature Kalman Filter Based on Resampling-Free Sigma-Point Update Framework and Improved Empirical Mode Decomposition for INS/CNS Navigation

Mathematics
For the degradation of the filtering performance of the INS/CNS navigation system under measurement noise uncertainty, an adaptive cubature Kalman filter (CKF) is proposed based on improved empirical mode decomposition (EMD) and a resampling-free sigma ...
Yu Ma, Di Liu
doaj   +1 more source

An Improved Strong Tracking Cubature Kalman Filter for GPS/INS Integrated Navigation Systems

Sensors, 2018
The cubature Kalman filter (CKF) is widely used in the application of GPS/INS integrated navigation systems. However, its performance may decline in accuracy and even diverge in the presence of process uncertainties. To solve the problem, a new algorithm
Kaiqiang Feng, Jie Li, Xi Zhang, Xiaoming Zhang, Chong Shen, Huiliang Cao, Yanyu Yang, Jun Liu   +7 more
doaj   +1 more source

Cubature quadrature Kalman filter

IET Signal Processing, 2013
In this correspondence, the authors develop a novel method based on spherical radial cubature and Gauss–Laguerre quadrature rule for non‐linear state estimation problems. The proposed filter, referred as cubature quadrature Kalman filter (CQKF) would be able to overcome inherent disadvantages associated with the earlier reported cubature Kalman filter (
Shovan Bhaumik, null Swati
openaire   +1 more source

Research on Active Collision Avoidance Control of Vehicles Based on Estimation of Road Surface Adhesion Coefficient

World Electric Vehicle Journal
In order to solve the problem that intelligent vehicle active collision avoidance systems have different decision-making results under different road conditions, the square-root cubature Kalman filtering algorithm is used to estimate the road adhesion ...
Hongxiang Wang, Jian Wang, Ruofei Du
doaj   +1 more source