Results 91 to 100 of about 94,605 (282)

Kalman Filtering for Discrete Stochastic Systems with Multiplicative Noises and Random Two-Step Sensor Delays

open access: yesDiscrete Dynamics in Nature and Society, 2015
This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic systems with multiplicative noises and random two-step sensor delays.
Dongyan Chen   +3 more
doaj   +1 more source

Characteristics of Intense Multi‐Day Wet Spells Over West Africa

open access: yesInternational Journal of Climatology, EarlyView.
The study reveals a significant increase in intense wet spells, particularly in KASS‐D, emphasising the value of dense rain‐gauge networks. Larger‐sized events have grown, while smaller ones declined, boosting 3‐day and 5‐day wet spells' contribution to annual rainfall, with the Guinea Coast showing the highest increase and the Sahel the lowest ...
Oluwaseun. W. Ilori   +3 more
wiley   +1 more source

Quaternion kinematics for the error-state KF [PDF]

open access: yes, 2016
A complete compendium of Quaternion formulas, with applications to Kalman filtering for visual-inertial navigation ...
Solà Ortega, Joan
core   +1 more source

PNNL‐TUNAMELT: Toward automating the detection of interactions with marine energy devices using acoustic camera sensors

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Acoustic cameras, or imaging sonars, are often used to monitor marine energy sites in regions where the water is too dark or turbid for optical sensing. To do so more effectively, scientists are investigating automated detection methodologies to use on these data.
Theodore Nowak   +2 more
wiley   +1 more source

Trajectory Control of Manipulator Robots With Uncertainties: A Saturated Continuous Integral Sliding Mode Approach

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study addresses the trajectory tracking control for manipulator robots with uncertainties. The main objective is to ensure that the robot follows a desired trajectory despite the presence of uncertainties/disturbances and considering control input constraints. The approach is developed in the framework of continuous integral sliding modes.
Emanuel Ortiz‐Ortiz   +3 more
wiley   +1 more source

Structural Modeling and Dynamics of the Full‐Length Homer1 Multimer

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Homer proteins are modular scaffold molecules that constitute an integral part of the protein network within the postsynaptic density. Full‐length Homer1 forms a large homotetramer via a long coiled coil region, and can interact with proline‐rich target sequences with its globular EVH1 domain.
Zsófia E. Kálmán   +9 more
wiley   +1 more source

Application of Kalman filtering based on sequential processing for satellite navigation

open access: yesTongxin xuebao, 2012
In order to reduce the operational volume and ensure the real-time capability of navigation algorithm of Kalman filtering,a novel filtering method called single-satellite sequential extended Kalman filtering (S3EKF) was proposed based on extended Kalman ...
Can-hui CHEN   +2 more
doaj   +2 more sources

Land data assimilation of satellite‐based surface soil moisture: Impact on atmospheric simulations over the contiguous United States

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Soil Moisture Active Passive soil moisture retrievals are assimilated into a land surface model and the resulting land reanalysis product is used to initialise the land component of coupled land‐atmosphere experiments. We show that the local impact of land data assimilation on the atmosphere is influenced by two factors: the magnitude by which it ...
Zdenko Heyvaert   +6 more
wiley   +1 more source

Ensemble Kalman filter in latent space using a variational autoencoder pair

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans   +4 more
wiley   +1 more source

Boundary Value Problems Arising in Kalman Filtering

open access: yesBoundary Value Problems, 2008
The classic Kalman filtering equations for independent and correlated white noises are ordinary differential equations (deterministic or stochastic) with the respective initial conditions. Changing the noise processes by taking them to be more realistic
Bashirov Agamirza   +2 more
doaj  

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