Results 71 to 80 of about 434 (170)
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 +3 more
wiley +1 more source
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 +5 more
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 +4 more
wiley +1 more source
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
Applied Sciences, 2017 Aimed at solving the problem of decreased filtering precision while maneuvering target tracking caused by non-Gaussian distribution and sensor faults, we developed an efficient interacting multiple model-unscented Kalman filter (IMM-UKF) algorithm.
Huan Zhou +3 more
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Square-Root Sigma-Point Information Consensus Filters for Distributed Nonlinear Estimation
Sensors, 2017 This paper focuses on the convergence rate and numerical characteristics of the nonlinear information consensus filter for object tracking using a distributed sensor network.
Guoliang Liu, Guohui Tian
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MathematicsThe cubature Kalman filter (CKF) cannot accurately estimate the nonlinear model, and these errors will have an impact on the accuracy. In order to improve the filtering performance of the CKF, this paper proposes a new CKF method to improve the ...
Haiyang Zhang, Chenglin Wen
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A note on a family of quadrature formulas and some applications [PDF]
Opuscula Mathematica, 2008 In this paper a construction of a one-parameter family of quadrature formulas is presented. This family contains the classical quadrature formulas: trapezoidal rule, midpoint rule and two-point Gauss rule.
Bogusław Bożek +2 more
doaj
Recent advances in various fields of numerical probability***
ESAIM: Proceedings and Surveys, 2015 The goal of this paper is to present a series of recent contributions on some various problems of numerical probability. Beginning with the Richardson-Romberg Multilevel Monte-Carlo method which, among other fields of applications, is
Bréhier C. E. +4 more
doaj +1 more source
IEEE Access, 2018 In tracking a maneuverable target, a proper estimation method with better filtering accuracy, stronger robustness, and faster convergence speed is crucial to the tracking system.
Jian Wang, Tao Zhang, Xiang Xu, Yao Li
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