Results 41 to 50 of about 19,010 (211)

Unscented Kalman filtering on Lie groups [PDF]

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
In this paper, we first consider a simple Bayesian fusion problem in a matrix Lie group, and propose to tackle it using the unscented transform. The method is then leveraged to derive two simple alternative unscented Kalman filters on Lie groups, for both cases of noisy partial measurements of the state, and full state noisy measurements of the state ...
Martin Brossard, Silvere Bonnabel, Jean-Philippe Condomines   +2 more
openaire   +1 more source

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

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

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

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.
Malcolm, James G., Shenton, Martha, Rathi, Yogesh   +2 more
openaire   +3 more sources

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

SKEMA AKAR KUADRAT DALAM UNSCENTED KALMAN FILTER UNTUK MENDETEKSI KERAK PADA ALAT PENUKAR PANAS [PDF]

, 2011
Filter Kalman adalah suatu algoritma yang digunakan untuk mengestimasi variabel keadaan pada sistem linier. Sedangkan untuk sistem taklinier Filter Kalman tidak dapat digunakan secara langsung.
Erna, Apriliani, Tholib, M.
core  

Model Prediction-Based Approach to Fault Tolerant Control with Applications [PDF]

, 2013
— Fault-tolerant control (FTC) is an integral component in industrial processes as it enables the system to continue robust operation under some conditions.
Khalid, Dr. Haris M., Mahmoud, Professor Magdi S.   +1 more
core   +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

The Geometric Unscented Kalman Filter

, 2020
Many filters have been proposed in recent decades for the nonlinear state estimation problem. The linearization-based extended Kalman filter (EKF) is widely applied to nonlinear industrial systems. As EKF is limited in accuracy and reliability, sequential Monte-Carlo methods or particle filters (PF) can obtain superior accuracy at the cost of a huge ...
Fang, Chengling, Liu, Jiang, Ye, Songqing, Zhang, Ju   +3 more
openaire   +2 more sources