Results 81 to 90 of about 1,423 (188)
Nonlinear Attitude Filtering: A Comparison Study [PDF]
, 2015 This paper contains a concise comparison of a number of nonlinear attitude filtering methods that have attracted attention in the robotics and aviation literature.
Mahony, R., Trumpf, J., Zamani, M.
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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
Centralized Multi-Sensor Square Root Cubature Joint Probabilistic Data Association
Sensors, 2017 This paper focuses on the tracking problem of multiple targets with multiple sensors in a nonlinear cluttered environment. To avoid Jacobian matrix computation and scaling parameter adjustment, improve numerical stability, and acquire more accurate ...
Yu Liu +5 more
doaj +1 more source
Machine Learning for Modeling the Singular Multi-Pantograph Equations
Entropy, 2020 In this study, a new approach to basis of intelligent systems and machine learning algorithms is introduced for solving singular multi-pantograph differential equations (SMDEs).
Amirhosein Mosavi +5 more
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A comparison of sigma-point Kalman filters on an aerospace actuator [PDF]
This paper contains a comparison of several sigma-point Kalman filters, including the unscented Kalman filter (UKF), the cubature Kalman filter (CKF), and the central difference Kalman filter (CDKF).
Al-Shabi M +3 more
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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
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 +3 more
wiley +1 more source
State of Charge Estimation for Lithium‐Ion Battery by Using Dual Square Root Cubature Kalman Filter [PDF]
Mathematical Problems in Engineering, 2017 The state of charge (SOC) plays an important role in battery management systems (BMS). However, SOC cannot be measured directly and an accurate state estimation is difficult to obtain due to the nonlinear battery characteristics. In this paper, a method of SOC estimation with parameter updating by using the dual square root cubature Kalman filter ...
Luping Chen, Liangjun Xu, Ruoyu Wang
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A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy
Energy 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
, 2018 Kalman filters and observers are two main classes of dynamic state estimation (DSE) routines. Power system DSE has been implemented by various Kalman filters, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF).
Qi, Junjian +2 more
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