Results 41 to 50 of about 173 (155)
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 +7 more
wiley +1 more source
Cubature Formulas for Oscillatory Integrals with Given Function Traces on Lines
Кібернетика та комп'ютерні технологіїIntroduction. Numerical integration of rapidly oscillating multivariable functions plays an important role in applied mathematics, particularly in image processing, computed tomography, and mathematical modeling.
Yevheniia Khurdei, Vladyslav Ivanov
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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
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Weighted Optimal Quadrature Formulas in Sobolev Space and Their Applications
AlgorithmsThe optimization of computational algorithms is one of the main problems of computational mathematics. This optimization is well demonstrated by the example of the theory of quadrature and cubature formulas.
Kholmat Shadimetov, Khojiakbar Usmanov
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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 +7 more
wiley +1 more source
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 +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 +4 more
wiley +1 more source
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Canadian Journal of Statistics, Volume 53, Issue 4, December 2025.Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
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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
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