Results 71 to 80 of about 15,890,225 (198)

Robust high-degree cubature information filter and its application to trajectory estimation for ballistic missile

open access: yes, 2017
This paper presents a new recursive filter algorithm, the robust high-degree cubature information filter, which can provide reliable state estimation in the presence of non-Gaussian measurement noise. The novel algorithm is developed in the framework of
Naigang Cui   +3 more
core   +1 more source

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

open access: yesQuality 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

open access: yesEnergy 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

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

open access: yesEnergy 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   +3 more
wiley   +1 more source

Square Root Cubature Particle Filter

open access: yes, 2011
The square root cubature particle filter (SRCPF) uses the square root cubature Kalman filter (SRCKF) for generating the proposal distribution. The SRCPF algorithm is easy to be implemented and has numerical stability.
Jun Min Zhang, Jing Mu, Yuan Li Cai
core   +1 more source

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

open access: yesEnvironmetrics, 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

Cubature H∞ information filter

open access: yes, 2013
This paper presents a state estimation algorithm referred to as a cubature H∞ information filter (CH∞IF) for nonlinear systems. The proposed algorithm is developed from a cubature Kalman filter, an H∞ filter and an extended information filter. The CH ∞IF
Postlethwaite, Ian   +2 more
core  

A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy

open access: yesEnergy Science &Engineering, Volume 13, Issue 6, Page 2647-2662, June 2025.
Application of the type‐3 fuzzy logic system (T3‐FLS) for management of constant energy and a comparison with the type‐2 fuzzy logic system. ABSTRACT Despite direct current (DC) microgrids' benefits over alternating current microgrids, these systems confront several difficulties.
Man‐Wen Tian   +7 more
wiley   +1 more source

Quantization‐Based Latin Hypercube Sampling for Dependent Inputs With an Application to Sensitivity Analysis of Environmental Models

open access: yesApplied Stochastic Models in Business and Industry, Volume 41, Issue 3, May/June 2025.
ABSTRACT Numerical models are essential for comprehending intricate physical phenomena in different domains. To handle their complexity, sensitivity analysis, particularly screening is crucial for identifying influential input parameters. Kernel‐based methods, such as the Hilbert‐Schmidt Independence Criterion (HSIC), are valuable for analyzing ...
Guerlain Lambert   +2 more
wiley   +1 more source

Optimized Hybrid Probabilistic and Geometric Constellation Shaping for Coherent Optical Communication Systems Using End‐to‐End Learning

open access: yesAdvanced Photonics Research, Volume 6, Issue 4, April 2025.
In this article, hybrid probabilistic and geometric constellation shaping to enhance spectral efficiency in coherent optical communication systems, particularly under a Wiener phase noise channel, is investigated. By integrating a two‐stage phase search algorithm with digital signal processing and gradient descent, the method outperforms geometrically ...
Zhiyang Liu   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy