Results 71 to 80 of about 5,324 (208)

Novel Calibration Strategy for Kalman Filter‐Based Measurement Fusion Operation to Enhance Aging Monitoring

Quality and Reliability Engineering International, Volume 41, Issue 6, Page 2290-2305, October 2025.
ABSTRACT This study introduces a novel calibration strategy for the linear Kalman filter (LKF) fusion application in condition monitoring, specifically utilizing accelerated aging data. Unlike the existing literature that often focuses on complex nonlinear Kalman filter variants, this research delves into the calibration of LKF.
Emre Genis, Duygu Bayram Kara
wiley   +1 more source

Joint Estimation of Lithium‐Ion Battery Health Status and Remaining Service Life by Transfer Learning Based on PatchTST and Dynamic Weighted MSE Loss Function

Energy Science &Engineering, Volume 13, Issue 9, Page 4371-4386, September 2025.
Develops a joint SOH‐RUL estimation model suitable for LIBs. This method leverages the PatchTST model and novel dynamic weighted kernel MSE (DWKMSE) loss function, employing transfer learning techniques to estimate SOH and RUL across different batteries. ABSTRACT This study proposes a transfer learning estimation method based on dynamic weighted kernel
Kaiyi Zhang, Xingzhu Wang
wiley   +1 more source

Osculatory and Hyperosculatory Cubature Formulas [PDF]

Mathematics of Computation, 1977
Osculatory and hyperosculatory cubature formulas for a rectangular region, employing the function with either first, or first and second partial derivatives, were obtained together with dominant remainder terms involving higher derivatives at one point, providing exact accuracy through the fifth (seventh) degree without (with) remainders.
openaire   +2 more sources

Enhancing Energy Storage Efficiency: Advances in Battery Management Systems in Electric Vehicles

Energy Technology, Volume 13, Issue 8, August 2025.
The rapid adoption of electric vehicles (EVs) underscores the urgent need for advanced battery management systems (BMS) to ensure safety, efficiency, and reliability. This article delves into the core functionalities of BMS, including state estimation, thermal management, and cell balancing, which are pivotal for optimizing battery performance ...
Hamid Naseem, Abdul Hadi, Min‐Jae Kang, Jul‐Ki Seok   +3 more
wiley   +1 more source

Application of Spherical-Radial Cubature Bayesian Filtering and Smoothing in Bearings Only Passive Target Tracking

Entropy, 2019
In this paper, an application of spherical radial cubature Bayesian filtering and smoothing algorithms is presented to solve a typical underwater bearings only passive target tracking problem effectively.
Wasiq Ali, Yaan Li, Zhe Chen, Muhammad Asif Zahoor Raja, Nauman Ahmed, Xiao Chen   +5 more
doaj   +1 more source

Refinements of the Jensen Inequality and Estimates of the Jensen Gap Based on Interval‐Valued Functions

Mathematical Methods in the Applied Sciences, Volume 48, Issue 12, Page 12567-12576, August 2025.
ABSTRACT The significance of the Jensen inequality stems from its impactful and compelling outcomes. As a generalization of classical convexity, it plays a key role in deriving other well‐known inequalities such as Hermite–Hadamard, Hölder, Minkowski, arithmetic‐geometric, and Young's inequalities.
İzzettin Demir
wiley   +1 more source

Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm

International Journal of Aerospace Engineering, 2020
Standard cubature Kalman filter (CKF) algorithm has some disadvantages in stochastic system control, such as low control accuracy and poor robustness.
FengJun Hu, Qian Zhang, Gang Wu
doaj   +1 more source

Small‐angle X‐ray scattering profile calculation for high‐resolution models of biomacromolecules

Journal of Applied Crystallography, Volume 58, Issue 4, Page 1332-1346, August 2025.
We present a new analysis approach for calculating the solution X‐ray scattering of high‐resolution models of biomacromolecules. We introduce novel grid‐based methods for evaluating both the hydration shell and excluded volume scattering contributions.
Kristian Lytje, Jan Skov Pedersen
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

Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes

Environmetrics, Volume 36, Issue 5, July 2025.
ABSTRACT Recent advances in local models for point processes have highlighted the need for flexible methodologies to account for the spatial heterogeneity of external covariates influencing process intensity. In this work, we introduce tessellated spatial regression, a novel framework that extends segmented regression models to spatial point processes,
Nicoletta D'Angelo
wiley   +1 more source