Results 171 to 180 of about 5,324 (208)

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

Variational Bayesian-Based Maximum Correntropy Cubature Kalman Filter With Both Adaptivity and Robustness

IEEE Sensors Journal, 2021
This paper focuses on solving the problems of unknown measurement noise covariance and measurement outliers, which occurs in the vision/dual-IMU integrated attitude determination system.
Jingjing He, Changku Sun, Baoshang Zhang, Peng Wang   +3 more
semanticscholar   +1 more source

Cubature Kalman smoothers

Automatica, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arasaratnam, Ienkaran, Haykin, Simon
openaire   +1 more source

An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries

Applied Energy, 2019
In this paper, an improved state of charge (SOC) estimation method of Lithium-Ion battery is developed based on a cubature Kalman filter (CKF) supported by experimental data.
Jiankun Peng, Jiayi Luo, Hongwen He, Bing Lu   +3 more
semanticscholar   +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

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

State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter

Energy, 2023
Lin Chen, Wentao Yu, Guoyang Cheng, Jierui Wang   +3 more
semanticscholar   +1 more source

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

Cubature Information Filters Using High-Degree and Embedded Cubature Rules

Circuits, Systems, and Signal Processing, 2014
The information form of the Kalman filter (KF) is preferred over standard covariance filters in multiple sensor fusion problems. Aiming at this issue, two types of cubature information filters (CIF) for nonlinear systems are presented in this article. The two approaches, which we have named the embedded cubature information filter (ECIF) and the fifth ...
openaire   +1 more source