Results 51 to 60 of about 1,039 (167)

An Adaptive Robust Square Root Unscented Kalman Filter for State of Charge Estimation for Lithium-ion Batteries [PDF]

International Journal of Industrial Electronics, Control and Optimization
Accurate estimation of State of Charge (SOC) is essential for the efficiency, safety, and durability of battery-powered devices, playing a vital role in Battery Management Systems (BMS).
Ramezan Havangi, Fatemeh Karimi
doaj   +1 more source

Matrix‐Free Kalman Filtering for Real‐Time Thermal State Estimation in Nanofluid Systems via Randomized Kaczmarz Iterations

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
ABSTRACT Classical Kalman filtering is computationally prohibitive in high‐dimensional settings because memory scales as O(n2)$\mathcal {O}(n^2)$ and covariance propagation as O(n3)$\mathcal {O}(n^3)$. For a thermal system with n=1000$n=1000$ states, a single covariance matrix already exceeds 8 MB, ruling out deployment on embedded hardware. This paper
Jaafar Almutawa
wiley   +1 more source

Precise Train Positioning With Unscented Kalman Filter and Low-Cost Sensors

IEEE Open Journal of Intelligent Transportation Systems
This contribution is embedded into the challenge of track fault localization with low-cost hardware. For precise localization on the track, with an accuracy of a few decimeters for separating overlapping errors, a high resolution trajectory is needed and
R. Frolow, L. Zhang, V. Schwieger
doaj   +1 more source

An Improved Robust Filter Algorithm for Manoeuvering Target Tracking With the Unknown and Time‐Varying Noise

Electronics Letters, Volume 62, Issue 1, January/December 2026.
The unstable radar measurement noise in natural environments degrades tracking performance. This Letter introduces a noise‐adaptive matrix to efficiently compute a corrected fading factor, enabling real‐time compensation for noise variations. Superior performance is verified through comparison with existing methods. ABSTRACT In the natural environment,
Tianhao Liu, Xi Chen, Naichang Yuan
wiley   +1 more source

Road Adhesion Coefficient Estimation Method for Distributed Drive Electric Vehicles Based on SR-UKF

Vehicles
To improve recognition accuracy, convergence speed, and numerical stability in estimating the road adhesion coefficient for distributed-drive electric vehicles, a nonlinear seven-degree-of-freedom vehicle dynamics model was developed based on a modified ...
Jinhui Li, Xinyu Wei, Hui Peng
doaj   +1 more source

Robust Square Root Unscented Kalman filter of graph signals

Considering the problem of nonlinear and non-gaussian filtering of the graph signal, in this paper, a robust square root unscented Kalman filter based on graph signal processing is proposed. The algorithm uses a graph topology to generate measurements and an unscented transformation is used to obtain the priori state estimates. In addition, in order to
Hu, Jinhui, Zhao, Haiquan, Peng, Yi
openaire   +2 more sources

Unscented Kalman Filter With Enhanced Generalised Cross Correlation Entropy for Robust State Estimation of Power System

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT To solve the complex scenarios, such as multimodal noise, bad measurement data and sudden load changes, in the power system, the enhanced generalised cross correlation entropy unscented Kalman filter (EnGCCE‐UKF) method is proposed in this paper.
Liangzheng Wu, Taofei Ku, Kaiman Li, Peifeng Chen   +3 more
wiley   +1 more source

Research on Temperature Estimation Model of Planar Solid Oxide Fuel Cell Stack

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT The solid oxide fuel cell (SOFC) is an innovation power generation device in the form of an electric stack. The temperature distribution is crucial for the stable and safe operation of the system. Considering the difficulty of accurately measuring the internal temperature of the device, this paper proposes a temperature estimation method based
Anan Zhang, Qin Xiao, Chuan Liu, Huang Huang, Qian Li, Wei Yang   +5 more
wiley   +1 more source

Dynamic Error Suppression of Inertial Measurement Unit Based on Improved Unscented Kalman Filter

Transactions of Nanjing University of Aeronautics and Astronautics
In this paper， an algorithm on measurement noise with adaptive strong tracking unscented Kalman filter （ASTUKF） is advanced to improve the precision of pose estimation and the stability for data computation.
LI Na, LI Kun, HE Haiyu, JING Min
doaj   +1 more source

Time‐Varying Inertia Estimation for Grid‐Connected DFIG‐Based Wind Farms Using Sensitivity‐Guided Clustering and Aggregation

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper proposes a time‐varying inertia estimation framework based on sensitivity‐guided clustering and aggregation. It can achieve high‐accuracy inertia estimation with limited measurements, reducing the relative error by nearly 10% compared with existing methods, and exhibit strong robustness to noise and disturbances.
Yulong Li, Wei Yao, Yongxin Xiong, Hongyu Zhou, Shanyang Wei, Wei Huang, Jinyu Wen   +6 more
wiley   +1 more source