Results 61 to 70 of about 404 (153)

A Tightly Coupled Fusion Positioning Method Based on Particle Filtering With Effective Particle Neighbourhood Attraction Optimisation

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To address the limitations of existing wireless and inertial navigation systems, this paper proposes a high‐precision integrated positioning scheme based on particle filtering. The method introduces a high‐weight particle neighbourhood attraction mechanism to solve the common issue of particle degeneracy.
Yanbiao Gao, Zhongliang Deng
wiley   +1 more source

BP Neural Network–Based Kalman Filtering Method Under Multiple Cyberattacks

IET Signal Processing, Volume 2026, Issue 1, 2026.
This paper proposes a Kalman‐gain‐driven neural Kalman filtering (KF) defense framework, termed KFDBP, for secure state estimation in cyber–physical systems (CPSs) under denial‐of‐service (DoS), spoofing, and replay attacks. Unlike end‐to‐end neural filtering approaches such as KalmanNet that directly learn state estimators or implicitly approximate ...
Zijing Li, Keting Huang, Gang Wang, Zhuowei Liang, Yun Zhou, Desheng Zheng, Yaoxin Duan, Wenling Li   +7 more
wiley   +1 more source

Student’s t‐Kernel‐Based Graph Signals Maximum Correntropy Unscented Kalman Filter Under Hybrid Cyberattacks

IET Signal Processing, Volume 2026, Issue 1, 2026.
The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
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
openaire   +2 more sources

Enhanced Measure of Nonlinearity Using Deep Learning and Adaptive Fusion for Fused Bearings‐Only Tracking

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Bearings‐only tracking (BOT) in sonar’s passive mode presents significant nonlinearity challenges, addressed here through a measure of nonlinearity (MoN) based on the filter’s covariance matrix. This study computes MoN to evaluate filter performance and enhance target motion estimation precision.
Kausar Jahan, B. Omkar Lakshmi Jagan, S. Koteswara Rao, Aditya Pal, Hari Mohan Rai, Lilia Tightiz, Wedad Khamis Al-Shibli, Pramita Mishra   +7 more
wiley   +1 more source

Exponential Smoothing Forecasting Techniques in Power Systems: A Systematic Literature Review of Recent Applications (2018–2024)

International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.
Forecasts are predictions of what is likely to happen in the future and are developed so that judgment and experience of administrators and managers may be supplemented by scientifically developed information to enhance decision‐making. This study presents a systematic literature review on recent applications (2018–2024) of exponential smoothing ...
Nhlanhla Mbuli, Yukun Bao
wiley   +1 more source

Intelligent Vehicle Sideslip Angle Observation Strategy Based on Steady‐State Model and SCKF With Nonlinear Compensation

Journal of Engineering, Volume 2026, Issue 1, 2026.
Vehicle sideslip angle is one of the irreplaceable variable indicators for evaluating vehicle stability. However, it is difficult to directly measure vehicle sideslip angle with onboard sensors. In order to obtain precise vehicle sideslip angle using onboard sensors, a novel observation strategy based on fusion of steady‐state model method and square ...
Zhendong Zhu, Qiangqiang Yao, Yiheng Shi, Abdullah A. Kendoush   +3 more
wiley   +1 more source

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, Ali Almaktoof, Mohamed T. Kahn, Marco Bonopera   +3 more
wiley   +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, Bowen Zheng, Xiaoming Sun, Lina Guo, Yoshiki Ikeda   +4 more
wiley   +1 more source

Aero Engine Gas Path Performance Tracking Based on Multi-Sensor Asynchronous Integration Filtering Approach

IEEE Access, 2018
Kalman filter (KF) is a widely used technique to obtain health condition in aero engine health management, and each kind of measurement is commonly assumed to be collected and tackled simultaneously from one sensor in the KF for state tracking in ...
Feng Lu, Chunyu Jiang, Jinquan Huang, Xiaojie Qiu   +3 more
doaj   +1 more source