Results 41 to 50 of about 19,182 (197)

Neural Tractography Using an Unscented Kalman Filter [PDF]

, 2009
We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel independently so there is no running knowledge of confidence in the estimated fiber model.
James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi   +2 more
openaire   +3 more sources

A Simple Attitude Unscented Kalman Filter: Theory and Evaluation in a Magnetometer-Only Spacecraft Scenario

IEEE Access, 2016
A quaternion-based attitude unscented Kalman filter is formulated with quaternion errors parameterized by small angle approximations and is applied to a filter with a state vector consisting of the attitude quaternion and the gyro bias vector. The filter
Murty S. Challa, Jay G. Moore, Daniel J. Rogers   +2 more
doaj   +1 more source

Inverse Unscented Kalman Filter

IEEE Transactions on Signal Processing
Rapid advances in designing cognitive and counter-adversarial systems have motivated the development of inverse Bayesian filters. In this setting, a cognitive 'adversary' tracks its target of interest via a stochastic framework such as a Kalman filter (KF).
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay   +2 more
openaire   +2 more sources

Construction and Method Study of the State of Charge Model for Lithium-Ion Packs in Electric Vehicles Using Ternary Lithium Packs as an Example

World Electric Vehicle Journal
Accurate and real-time estimation of pack system-level chips is essential for the performance and reliability of future electric vehicles. Firstly, this study constructed a model of a nickel manganese cobalt cell on the ground of the electrochemical ...
Yinquan Hu, Heping Liu, Hu Huang
doaj   +1 more source

A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks

IET Signal Processing, 2021
One of the current ways to continue space research is to launch ballistic rockets that carry scientific payloads. To improve the accuracy of the instantaneous evolution of the payload impact on the Earths surface, it is necessary to estimate indirect ...
Jose Abreu, Roberto L. Oliveira, Joao V. Fonseca Neto   +2 more
doaj   +1 more source

A Novel Extended Unscented Kalman Filter Is Designed Using the Higher-Order Statistical Property of the Approximate Error of the System Model

Actuators
In the actual working environment, most equipment models present nonlinear characteristics. For nonlinear system filtering, filtering methods such as the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Cubature Kalman Filter (CKF) have ...
Chengyi Li, Chenglin Wen
doaj   +1 more source

Comparative Analysis of the Performances of a Nonlinear Observer and Nonlinear Kalman Filters in the Presence of Non‐Gaussian Disturbances

International Journal of Robust and Nonlinear Control, Volume 36, Issue 7, Page 3896-3913, 10 May 2026.
ABSTRACT This paper focuses on state estimation for a fairly general class of systems, involving nonlinear functions and disturbances in both the process dynamics and output equations. A nonlinear observer that satisfies a H∞$$ {\boldsymbol{H}}_{\boldsymbol{\infty}} $$ disturbance attenuation constraint in addition to providing asymptotic stability in ...
Hamidreza Movahedi, Ali Zemouche, Rajesh Rajamani   +2 more
wiley   +1 more source

Sigma Point Belief Propagation

, 2013
The sigma point (SP) filter, also known as unscented Kalman filter, is an attractive alternative to the extended Kalman filter and the particle filter. Here, we extend the SP filter to nonsequential Bayesian inference corresponding to loopy factor graphs.
Hlawatsch, Franz, Hlinka, Ondrej, Meyer, Florian   +2 more
core   +1 more source

Free‐Air Electric Arc Phenomena in High‐Voltage Energy Transmission Systems: A Comprehensive Review Integrating Physical Modeling and Intelligent Monitoring

Engineering Reports, Volume 8, Issue 5, May 2026.
This graphical abstract compares circuit‐based, signal‐processing‐based, and intelligent‐learning‐based approaches for secondary arc‐fault detection, highlighting their key principles and practical advantages. ABSTRACT Reliable detection of free‐air electric arc faults in high‐voltage overhead transmission lines, together with accurate discrimination ...
Mahyar Abasi, Ali Rahmatifar, Ali Asghar Ghadimi   +2 more
wiley   +1 more source

Unscented Kalman Filters for Riemannian State-Space Systems

, 2018
Unscented Kalman Filters (UKFs) have become popular in the research community. Most UKFs work only with Euclidean systems, but in many scenarios it is advantageous to consider systems with state-variables taking values on Riemannian manifolds.
Ishihara, João Y., Kussaba, Hugo T. M., Menegaz, Henrique M. T.   +2 more
core   +1 more source