Results 181 to 190 of about 13,253 (243)

Environmentally Adaptive Event-Driven Robust Cubature Kalman Filter for RSS-Based Targets Tracking in Mobile Wireless Sensor Network

IEEE Internet of Things Journal, 2023
This article presents an environmentally adaptive event-driven robust square root cubature Kalman filter (EAERCKF) for received-signal-strength-based (RSS-based) moving targets tracking in resource-constrained mobile wireless sensor network (MWSN) under ...
Hongbo Zhu, Haibo Wu, Minzhou Luo
semanticscholar   +1 more source

Estimation of Sideslip Angle and Tire Cornering Stiffness Using Fuzzy Adaptive Robust Cubature Kalman Filter

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
The accurate information of sideslip angle (SA) and tire cornering stiffness (TCS) is essential for advanced chassis control systems. However, SA and TCS cannot be directly measured by in-vehicle sensors.
Yan Wang, Keke Geng, Liwei Xu, Yaping Ren, Haoxuan Dong, Guo-dong Yin   +5 more
semanticscholar   +1 more source

Cubature Kalman Filter With Both Adaptability and Robustness for Tightly-Coupled GNSS/INS Integration

IEEE Sensors Journal, 2021
Tightly-coupled GNSS/INS (Global Navigation Satellite System/Inertial Navigation System) integration is of importance to vehicle positioning. However, this integration technology has difficulty in achieving optimal positioning solutions for the dynamic ...
Bingbing Gao, Gaoge Hu, Y. Zhong, Xinhe Zhu   +3 more
semanticscholar   +1 more source

Dynamic Harmonic Estimation Using a Novel Robust Filtering Strategy: Iterated Sliding Innovation Cubature Filter

IEEE Transactions on Instrumentation and Measurement, 2023
Active filters (AFs) are effective tools for mitigating the detrimental effects of harmonic components on the power systems. The performance of AFs is significantly dependent on designing an accurate and robust estimator which is responsible for ...
Javad Enayati, A. Rahimnejad, L. Vanfretti, S. A. Gadsden, M. Al-Shabi   +4 more
semanticscholar   +1 more source

Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration

IEEE/CAA Journal of Automatica Sinica, 2022
Traditional cubature Kalman filter (CKF) is a preferable tool for the inertial navigation system (INS)/global positioning system (GPS) integration under Gaussian noises.
Lujuan Dang, Badong Chen, Yulong Huang, Yonggang Zhang, Haiquan Zhao   +4 more
semanticscholar   +1 more source

Symbolic–numeric Gaussian cubature rules

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

A Computationally Efficient Outlier-Robust Cubature Kalman Filter for Underwater Gravity Matching Navigation

IEEE Transactions on Instrumentation and Measurement, 2022
Gravity-aided navigation is one of key techniques for the navigation of underwater vehicles. Cubature Kalman filter (CKF)-based matching algorithm improves the positioning accuracy of traditional Sandia inertial terrain aided navigation method.
Zhao Wang, Yulong Huang, Maosong Wang, Jin Wu, Yonggang Zhang   +4 more
semanticscholar   +1 more source

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, Xiaoxiong Liu, Yue Yang, Yicong Guo, Weiguo Zhang   +4 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, Qin Shi, Yiwen Liu, Liquan Guo, Xiaonan Zhang, Ji Wu   +5 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, Shunli Wang, Xiao Yang, Yanxin Xie, Li-Yu Daisy Liu, Chunyan Zhang   +5 more
semanticscholar   +1 more source