Results 71 to 80 of about 2,929 (197)

Comparisons on Kalman-Filter-Based Dynamic State Estimation Algorithms of Power Systems

IEEE Access, 2020
The Kalman-filter-based algorithms as the mainstream algorithms of dynamic state estimation of power systems have been extensively used to provide accurate data for power system applications. However, few comparisons are made to show their advantages and
Hui Liu, Fei Hu, Jinshuo Su, Xiaowei Wei, Risheng Qin   +4 more
doaj   +1 more source

Adaptively Robust Square-Root Cubature Kalman Filter Based on Amending

IEEE Access, 2021
To solve the problem of decreased filtering accuracy and even filter divergence for the case that the model errors and measurement outliers exist simultaneously, an adaptively robust square-root cubature Kalman filter (SRCKF) based on amending is ...
Chunhui Li, Jian Ma, Yongjian Yang, Bingsong Xiao   +3 more
doaj   +1 more source

A SLAM Algorithm Based on Adaptive Cubature Kalman Filter [PDF]

Mathematical Problems in Engineering, 2014
We need to predict mathematical model of the system and a priori knowledge of the noise statistics when traditional simultaneous localization and mapping (SLAM) solutions are used. However, in many practical applications, prior statistics of the noise are unknown or time‐varying, which will lead to large estimation errors or even cause ...
Fei Yu, Qian Sun, Chongyang Lv, Yueyang Ben, Yanwei Fu   +4 more
openaire   +2 more sources

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

Precise-Point-Positioning Estimations for Recreational Drones Using Optimized Cubature-Extended Kalman Filtering

IEEE Access, 2021
In modern-day multi-dimensional recreational drones (UAVs), the global navigation satellite system (GNSS) units in- use are commonly fraught with precise-point-positioning (PPP) data errors or inaccuracies, hence, necessitating this work.
Williams-Paul Nwadiugwu, Seung-Hwan Kim, Dong-Seong Kim   +2 more
doaj   +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

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

Consensus Based Strong Tracking Adaptive Cubature Kalman Filtering for Nonlinear System Distributed Estimation

IEEE Access, 2019
The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang, Qingdong Li, Liang Han, Xiwang Dong, Yuan Liang, Zhang Ren   +5 more
doaj   +1 more source

A New Approach to Adaptive Signal Processing

, 2015
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from just Ax=b, key ASP algorithms are derived in a simple, systematic, and integrated manner without requiring any background knowledge to the field ...
Anjum, Muhammad Ali Raza
core   +2 more sources

CKFNet: Neural Network Aided Cubature Kalman Filtering

IEEE Signal Processing Letters
The cubature Kalman filter (CKF), while theoretically rigorous for nonlinear estimation, often suffers performance degradation due to model-environment mismatches in practice. To address this limitation, we propose CKFNet-a hybrid architecture that synergistically integrates recurrent neural networks (RNN) with the CKF framework while preserving its ...
Jinhui Hu, Haiquan Zhao, Yi Peng
openaire   +2 more sources