Results 51 to 60 of about 13,253 (243)

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

Research on sensorless control method of permanent magnet synchronous motor based on iterated cubature Kalman filter

Science Progress, 2020
Aiming at the problems of high cost, increased volume, low reliability, and environmental interference caused by sensor installation on permanent magnet synchronous motor, estimation method for motor speed and rotor position is proposed based on iterated
Shi Peicheng, Wang Chen, Zhang Rongyun, Wang Suo   +3 more
doaj   +1 more source

Nonlinear Model Order Reduction on Polynomial Manifolds for Computational Homogenisation Problems

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Model order reduction (MOR) techniques utilising nonlinear approximation spaces can search for solutions to computational homogenisation problems on low‐dimensional approximation spaces. In combination with hyperreduction techniques, this allows for computations on representative volume elements (RVEs) to be accelerated by multiple orders of ...
Erik Faust, Lisa Scheunemann
wiley   +1 more source

On Gauss-Lobatto integration on the triangle

, 2011
A recent result in [2] on the non-existence of Gauss-Lobatto cubature rules on the triangle is strengthened by establishing a lower bound for the number of nodes of such rules. A method of constructing Lobatto type cubature rules on the triangle is given
Xu, Yuan
core   +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

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

The (Im)possibilities of Repopulation: How Supply‐Side Factors Hinder the Revitalisation of Vacant Houses in Rural Mountain Regions

The Geographical Journal, Volume 192, Issue 2, June 2026.
Short Abstract Industrialisation has reshaped European rural areas, leading to both depopulation and, in some cases, lifestyle‐driven repopulation. Our research highlights supply‐side barriers to Alpine repopulation by unpacking the impossibilities of vacant farmhouses revitalisation. Both land transfer traditions ingrained over generation (micro‐level
Bernhard Grüner, Elisabeth Gruber
wiley   +1 more source

Omnibus goodness‐of‐fit tests for univariate continuous distributions based on trigonometric moments

Statistica Neerlandica, Volume 80, Issue 2, May 2026.
ABSTRACT We propose a new omnibus goodness‐of‐fit test based on trigonometric moments of probability‐integral‐transformed data. The test builds on the framework of the LK test introduced by Langholz and Kronmal [J. Amer. Statist. Assoc. 86 (1991), 1077–1084], but fully exploits the covariance structure of the associated trigonometric statistics.
Alain Desgagné, Frédéric Ouimet
wiley   +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