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Symbolic–numeric Gaussian cubature rules

Applied Numerical Mathematics, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cuyt, Annie A.M.   +3 more
openaire   +3 more sources

Variational Bayesian-Based Robust Cubature Kalman Filter With Application on SINS/GPS Integrated Navigation System

IEEE Sensors Journal, 2022
In this article, we focus on addressing the nonlinear filtering problem with unknown measurement noise covariance and measurement outliers, which may be encountered in the application in strapdown inertial navigation system/global positioning system ...
Xuhang Liu   +4 more
semanticscholar   +1 more source

Improved Backward Smoothing - Square Root Cubature Kalman Filtering and Variable Forgetting Factor - Recursive Least Square Modeling Methods for the High-Precision State of Charge Estimation of Lithium-Ion Batteries

Journal of the Electrochemical Society, 2023
Accurate lithium-ion battery charge state estimation is crucial for battery management systems. For the modeling of dual polarization - electrical equivalent circuit based on ternary lithium batteries, a variable forgetting factor recursive least ...
Mengyun Zhang   +5 more
semanticscholar   +1 more source

State of Charge Estimation for Lithium-Ion Batteries at Various Temperatures by Extreme Gradient Boosting and Adaptive Cubature Kalman Filter

IEEE Transactions on Instrumentation and Measurement
State of charge (SOC) plays a crucial role in battery management systems (BMSs) as it significantly impacts battery lifespan and energy efficiency.
Weilu Hou   +5 more
semanticscholar   +1 more source

Sideslip Angle Fusion Estimation Method of Three-Axis Autonomous Vehicle Based on Composite Model and Adaptive Cubature Kalman Filter

IEEE Transactions on Transportation Electrification
A sideslip angle fusion estimation strategy of the three-axis vehicle based on an adaptive cubature Kalman filter (ACKF) is investigated in this article.
Te Chen   +3 more
semanticscholar   +1 more source

Indirect Fuzzy Robust Cubature-Kalman Filter With Normalized Input Parameters

IEEE Transactions on Aerospace and Electronic Systems
Cubature-Kalman filter (CKF) is widely used for nonlinear dynamic estimations due to its high accuracy and numerical stability. However, CKF experiences a substantial degradation in performance when confronted with measurement uncertainty.
Gaoge Hu   +4 more
semanticscholar   +1 more source

Cubature rule-based distributed optimal fusion with identification and prediction of kinematic model error for integrated UAV navigation

, 2021
Integrated MIMU/GNSS/CNS (micro-electro-mechanical system-based inertial measurement unit/global navigation satellite system/celestial navigation system) is a promising strategy for UAV (unmanned aerial vehicle) navigation.
Bingbing Gao   +3 more
semanticscholar   +1 more source

The Cubature Kalman Filter revisited

Automatica, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Santos-León, Juan-Carlos   +3 more
openaire   +1 more source

State-of-charge estimation tolerant of battery aging based on a physics-based model and an adaptive cubature Kalman filter

, 2021
Battery performance declines with aging. This phenomenon makes it difficult to estimate the state-of-charge (SOC) of the battery. Because physics-based battery models (PBMs) can predict the performance decline caused by battery aging with high accuracy ...
Xiaoyu Li   +3 more
semanticscholar   +1 more source

Terrain-Aided Navigation of Long-Range AUV Based on Cubature Particle Filter

IEEE Transactions on Instrumentation and Measurement
Terrain-aided navigation (TAN) is a promising technology for achieving accurate positioning of long-range autonomous underwater vehicles (AUVs). In TAN systems, particle filters (PFs) are widely used to estimate the AUV’s location.
Xiujun Chai   +3 more
semanticscholar   +1 more source

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