Results 61 to 70 of about 15,890,225 (198)

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

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

Nonlinear Estimation Using Risk Sensitive Formulation of Cubature [PDF]

, 2020
-This paper proposes a novel method to minimize the risk sensitive cost function based on cubature quadrature algorithm. The proposed filter is named as risk sensitive cubature quadrature Kalman filter (RSCQKF).
Filter Swati, Shovan Bhaumik, Quadrature Kalman   +2 more
core  

Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters

Aerospace, 2018
Multi-Unmanned Aerial Vehicle (UAV) Doppler-based target tracking has not been widely investigated, specifically when using modern nonlinear information filters.
Hamza Benzerrouk, Alexander Nebylov, Meng Li   +2 more
doaj   +1 more source

Sensor Fusion with Square-Root Cubature Information Filtering

Intelligent Control and Automation, 2013
This paper derives a square-root information-type filtering algorithm for nonlinear multi-sensor fusion problems using the cubature Kalman filter theory. The resulting filter is called the square-root cubature Information filter (SCIF). The SCIF propagates the square-root information matrices derived from numerically stable matrix operations and is ...
openaire   +2 more sources

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

Multi‐UAV active target search based on perceptual adaptation in marine environment

Cognitive Computation and Systems, 2022
This work considers the problem of target search in marine environment. A perceptual adaptive Gaussian sum cubature Kalman filter is proposed for multi‐target search in non‐linear and non‐Gaussian noise environment.
Xiang Li, Hebin Wang, Xingfa Shen
doaj   +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

Efficient Hyperreduction for Large‐Scale Problems: Exploiting Reducible Constraint Manifolds in Empirical Quadrature Procedure

International Journal for Numerical Methods in Engineering, Volume 126, Issue 23, 15 December 2025.
ABSTRACT We develop efficient hyperreduction methods for projection‐based model reduction of nonlinear partial differential equations (PDEs) with a large number of parameters and/or large parametric extents. Our formulation is based on the empirical quadrature procedure (EQP), which solves an optimization problem that involves “residual‐matching ...
Adrian Humphry, Masayuki Yano
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
wiley   +1 more source