Results 41 to 50 of about 5,324 (208)

Gaussian Filtering Using a Spherical-Radial Double Exponential Cubature

IEEE Open Journal of Signal Processing
Gaussian filters use quadrature rules or cubature rules to recursively solve Gaussian-weighted integrals. Classical and contemporary methods use stable rules with a minimal number of cubature points to achieve the highest accuracy. Gaussian quadrature is
Quade Butler, Youssef Ziada, S. Andrew Gadsden   +2 more
doaj   +1 more source

Mixed-Degree Cubature H∞ Information Filter-Based Visual-Inertial Odometry

Applied Sciences, 2018
Visual–inertial odometry is an effective system for mobile robot navigation. This article presents an egomotion estimation method for a dual-sensor system consisting of a camera and an inertial measurement unit (IMU) based on the cubature information ...
Chunlin Song, Xiaogang Wang, Naigang Cui
doaj   +1 more source

Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise

IEEE Access, 2020
Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise.
Jingjing He, Changku Sun, Baoshang Zhang, Peng Wang   +3 more
doaj   +1 more source

Robust Dynamic State Estimation for Power System Based on Adaptive Cubature Kalman Filter With Generalized Correntropy Loss

IEEE Transactions on Instrumentation and Measurement, 2022
Due to the unfavorable interference of non-Gaussian noise, abnormal system states, and rough measurement errors, dynamic state estimation (DSE) plays an important role in the safe operation of power system.
Yaoqiang Wang, Zhiwei Yang, Yi Wang, V. Dinavahi, Jun Liang, Kewen Wang   +5 more
semanticscholar   +1 more source

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF

Energy Science &Engineering, Volume 14, Issue 3, Page 1416-1430, March 2026.
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley   +1 more source

Double-Layer Cubature Kalman Filter for Nonlinear Estimation

Sensors, 2019
The cubature Kalman filter (CKF) has poor performance in strongly nonlinear systems while the cubature particle filter has high computational complexity induced by stochastic sampling.
Feng Yang, Yujuan Luo, Litao Zheng
doaj   +1 more source

Methods Based on Polynomial Chaos for Quadratic Delay Differential Equations With Random Parameters

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 1, March 2026.
ABSTRACT We consider systems of delay differential equations (DDEs), including a single delay and a quadratic right‐hand side. In a system, parameters are replaced by random variables to perform an uncertainty quantification. Thus the solution of the DDEs becomes a random process, which can be represented by a series of the generalised polynomial chaos.
Roland Pulch
wiley   +1 more source

Non‐Linear Reduced Order Modelling of Transonic Potential Flows for Fast Aerodynamic Analysis

International Journal for Numerical Methods in Engineering, Volume 127, Issue 2, 30 January 2026.
ABSTRACT This work presents a physics‐based reduced order modelling (ROM) framework for the efficient simulation of steady transonic potential flows around aerodynamic configurations. The approach leverages proper orthogonal decomposition and a least‐squares Petrov‐Galerkin (LSPG) projection to construct intrusive ROMs for the full potential equation ...
M. Zuñiga, S. Ares de Parga, R. Zorrilla, R. Rossi   +3 more
wiley   +1 more source

Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise

Sensors, 2018
This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi, Xianfeng Tang, Xiaoliang Feng, Dingjun Bian, Xizhao Zhou   +4 more
doaj   +1 more source

An Improved Robust Filter Algorithm for Manoeuvering Target Tracking With the Unknown and Time‐Varying Noise

Electronics Letters, Volume 62, Issue 1, January/December 2026.
The unstable radar measurement noise in natural environments degrades tracking performance. This Letter introduces a noise‐adaptive matrix to efficiently compute a corrected fading factor, enabling real‐time compensation for noise variations. Superior performance is verified through comparison with existing methods. ABSTRACT In the natural environment,
Tianhao Liu, Xi Chen, Naichang Yuan
wiley   +1 more source