Results 71 to 80 of about 425,572 (237)

Research on SINS initial alignment and the methods for the parameter γ Selection Based on H∞ Filtering Technique

open access: yes工程科学与技术, 2009
:The H∞ filtering is introduced because KALMAN filtering accuracy is not high or even divergent issues when system model is uncertain or noise statistics characteristics are not accurate.
Zhang Tao, 徐晓苏
doaj  

A review of issues in ensemble-based Kalman filtering

open access: yesMeteorologische Zeitschrift, 2007
Ensemble-based data assimilation methods related to the fundamental theory of Kalman filtering have been explored in a variety of mostly non-operational data assimilation contexts over the past decade with increasing intensity. While promising properties
Martin Ehrendorfer
doaj   +1 more source

On the projective geometry of kalman filter [PDF]

open access: yes2015 54th IEEE Conference on Decision and Control (CDC), 2015
6 ...
Francesca Paola Carli   +1 more
openaire   +2 more sources

Deep Kalman Filters

open access: yesCoRR, 2015
17 pages, 14 figures: Fixed typo in Fig.
Rahul G. Krishnan   +2 more
openaire   +2 more sources

Kalman Filtering in R [PDF]

open access: yes
Support in R for state space estimation via Kalman filtering was limited to one package, until fairly recently. In the last five years, the situation has changed with no less than four additional packages offering general implementations of the Kalman ...
Fernando Tusell
core  

Inference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filtering [PDF]

open access: yes, 2011
Copyright [2011] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Zeng, N   +9 more
core   +1 more source

Navigating to the Moon along low-energy transfers [PDF]

open access: yes, 2012
This paper presents a navigation strategy to fly to the Moon along a Weak Stability Boundary transfer trajectory. A particular strategy is devised to ensure capture into an uncontrolled relatively stable orbit at the Moon.
Vasile, M.   +2 more
core   +1 more source

Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise

open access: yesIEEE Access, 2018
A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter (KF), and measurement update ...
Lijian Yin   +4 more
doaj   +1 more source

Adaptive iterative working state prediction based on the double unscented transformation and dynamic functioning for unmanned aerial vehicle lithium-ion batteries

open access: yesMeasurement + Control, 2020
In lithium-ion batteries, the accuracy of estimation of the state of charge is a core parameter which will determine the power control accuracy and management reliability of the energy storage systems.
Haotian Shi   +5 more
doaj   +1 more source

Filtering in Finance. [PDF]

open access: yes
In this article we present an introduction to various Filtering algorithms and some of their applications to the world of Quantitative Finance. We shall first mention the fundamental case of Gaussian noises where we obtain the well-known Kalman Filter ...
Javaheri, Alireza   +2 more
core  

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