Results 191 to 200 of about 13,253 (243)

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, Yingfeng Cai, Long Chen, Xing Xu   +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, Linyan Xu, Zijiang Yang, Bingbing Gao, Yongmin Zhong   +4 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, Yuanlong Li, Lei Qiao, Min Zhao   +3 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, Gaoge Hu, Y. Zhong, Xinhe Zhu   +3 more
semanticscholar   +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, Zhijia Huang, Jindong Tian, Yong Tian   +3 more
semanticscholar   +1 more source

Adaptive Multikernel Size-Based Maximum Correntropy Cubature Kalman Filter for the Robust State Estimation

IEEE Sensors Journal, 2022
The performance of the maximum correntropy criterion filter is affected by the kernel size, while the present kernel size adaptive methods are prone to excessive convergence.
Jianbo Shao, Wu Chen, Ya Zhang, Fei Yu, Jiachong Chang   +4 more
semanticscholar   +1 more source

Application of Event-Triggered Cubature Kalman Filter for Remote Nonlinear State Estimation in Wireless Sensor Network

IEEE transactions on industrial electronics (1982. Print), 2021
This article proposes a novel filter, which is based on the event-triggered schedule and the cubature Kalman filter (CKF), to perform the nonlinear remote state estimation in the wireless sensor network with communication constraints.
Sen Li, Zhuguo Li, Jian Li, T. Fernando, H. Iu, Qinglin Wang, Xiangdong Liu   +6 more
semanticscholar   +1 more source

Nonnegative Cubature on Convex Sets

SIAM Journal on Numerical Analysis, 1974
Let $T_N $ be a collection of $N + 1$ points in a compact, convex set $T \subset E_n $. A sufficient condition is derived to guarantee existence of a cubature with nonnegative weights using nodes $T_N $, which integrates exactly a given finite-dimensional space of continuously differentiable functions on T.
openaire   +2 more sources

Cubature Kalman Filter

2018
The cubature Kalman filter (CKF) is the closest approximation known so far to the Bayesian filter that could be designed in a nonlinear setting under the Gaussian assumption. Unlike the extended Kalman filter (EKF), CKF does not require evaluation of Jacobians during the estimation process, while in EKF the nonlinear functions are approximated by their
Kumar Pakki Bharani Chandra, Da-Wei Gu
openaire   +1 more source

Dual-optimization for a MEMS-INS/GPS system during GPS outages based on the cubature Kalman filter and neural networks

Mechanical systems and signal processing, 2019
To improve the performance of a microelectromechanical-system (MEMS)-based inertial navigation system (INS)/Global Positioning System (GPS) integrated navigation system, a dual optimization scheme comprising a cubature Kalman filter (CKF)-multiple layer ...
Chong Shen, Yu Zhang, Jun Tang, Huiliang Cao, Jun Liu   +4 more
semanticscholar   +1 more source