Results 81 to 90 of about 4,554 (193)

Numerical cubature and hyperinterpolation over spherical polygons

Applied Mathematics and Computation
The purpose of this work is to introduce a strategy for determining the nodes and weights of a low-cardinality positive cubature formula nearly exact for polynomials of a given degree over spherical polygons. In the numerical section we report the results about numerical cubature over a spherical polygon $\cal P$ approximating Australia and ...
openaire   +4 more sources

Simulation‐Based Approaches to Thermal Estimation in Electric Vehicle Battery Cells

Modelling and Simulation in Engineering, Volume 2026, Issue 1, 2026.
This study presents a simulation‐based evaluation of a hybrid fiber Bragg grating (FBG) temperature estimation framework combining the extended Kalman filter (EKF) and unscented Kalman filter (UKF) for electric vehicle (EV) lithium‐ion battery cells. The work addresses key gaps in nonlinear thermal observability, robustness under high C‐rate excitation,
Kritzman P. Jooste, Ali Almaktoof, Mohamed T. Kahn, Marco Bonopera   +3 more
wiley   +1 more source

Research on Near Ground Precision Application Navigation Technology of Plant Protection UAV Based on SRCKF-SLAM

Journal of Applied Science and Engineering
The traditional quaternion is used as the description parameter of the nonlinear state model of the aircraft, and the accuracy of the attitude estimation is presented. A square root cubature Kalman filter algorithm based on quaternion is proposed.
Dandan Wang, Zhaokun Zhu, Kaituo Tan, Hongjie Li, Liang Yu   +4 more
doaj   +1 more source

A Dynamic Enhanced Robust Cubature Kalman Filter for the State Estimation of an Unmanned Autonomous Helicopter

IEEE Access, 2019
This paper addresses a design and application for the problem of state estimation for an unmanned autonomous helicopter (UAH) equipped with instruments including an inertial measurement unit (IMU), a magnetometer and a global positioning system (GPS).
Miaolei He, Jilin He
doaj   +1 more source

A Novel Weighted Unscented Kalman Filter for Dynamic Load Identification

Structural 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, Bowen Zheng, Xiaoming Sun, Lina Guo, Yoshiki Ikeda   +4 more
wiley   +1 more source

Adaptive Minimum Error Entropy Cubature Kalman Filter in UAV-Integrated Navigation Systems

Drones
Small unmanned aerial vehicles are now commonly equipped with integrated navigation systems to obtain high-precision navigation parameters. However, affected by the dual impacts of multipath effects and dynamic environmental changes, their state ...
Xuhang Liu, Hongli Zhao, Yicheng Liu, Suxing Ling, Xinhanyang Chen, Chenyu Yang, Pei Cao   +6 more
doaj   +1 more source

Distributed Robust Cubature Information Filtering for Measurement Outliers in Wireless Sensor Networks

IEEE Access, 2020
In wireless sensor networks (WSN), measurements are always corrupted by outliers or impulsive noise. Cubature information filtering (CIF) is founded based on minimum mean square error (MMSE) criterion, which is not applicable to non-Gaussian noise. Hence,
Jiahao Zhang, Shesheng Gao, Xiaomin Qi, Jiahui Yang, Juan Xia, Bingbing Gao   +5 more
doaj   +1 more source

Numerical cubature from Archimedes' hat-box theorem

, 2004
Archimedes' hat-box theorem states that uniform measure on a sphere projects to uniform measure on an interval. This fact can be used to derive Simpson's rule.
Kuperberg, Greg
core  

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

International 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

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