Results 171 to 180 of about 8,582 (299)

A hierarchical lateral stability control strategy of distributed drive electric vehicles based on extended Kalman filter and integral terminal sliding mode control. [PDF]

PLoS One
Wang J, Zhao Y, Gao W, Deng Z.
europepmc   +1 more source

Cointegration in a MIDAS Regression

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT Mixed data sampling (MIDAS) cointegration models are used to analyse variables observed at different frequencies. In this paper, we start from an assumed autoregressive distributed lag (ADL) model for high‐frequency observations, and derive the resulting representation when the dependent variable is only observed at a lower frequency.
H. Peter Boswijk, Philip Hans Franses
wiley   +1 more source

High-Precision Laser Time-Frequency Synchronization in Space Based on an Improved Kalman Filtering Method. [PDF]

Sensors (Basel)
Sun B, Wang X, Sun Z, Zheng F.
europepmc   +1 more source

Likelihood Estimation for Stochastic Differential Equations with Mixed Effects

Scandinavian Journal of Statistics, EarlyView.
ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios, Mogens Bladt, Michael Sørensen   +2 more
wiley   +1 more source

Distributed wireless network frequency synchronization under updating error noise with Kalman filter

, 2013
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science.Frequency synchronization in a distributed wireless network is a challenging issue in recent times.
Rachuri, Mahesh
core  

An Atmosphere–Land–Ocean Coupled Global NWP System: Performance Evaluation for Potential Operational Use

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract This study assesses the influence of ocean–atmosphere coupling on short‐ and medium‐range forecasts of the July 2024 Indian summer monsoon using the newly configured coupled NCMRWF Unified Model (C‐NCUM). Forecasts are evaluated against the operational atmosphere–land model (NCUM) using GPM rainfall, OSTIA SSTs, and reanalysis‐derived moisture
Sumit Kumar, Imranali M. Momin, Sukhwinder Kaur, Kondapalli Niranjan Kumar, Jonah Roberts‐Jones, Matthew J. Martin, John P. George, V. S. Prasad   +7 more
wiley   +1 more source

Regime‐Dependent Nowcasting of the Austrian Economy

Journal of Forecasting, Volume 45, Issue 4, Page 2078-2101, July 2026.
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley   +1 more source

Distributed Kalman Filtering

, 2014
openaire   +2 more sources

Real-time decentralized model predictive control for cooperative multi-robot object transport: experimental validation. [PDF]

Sci Rep
Muhammed I, Nada AA, El-Hussieny H.
europepmc   +1 more source

Global Wind Field Reconstruction in the Mesosphere and Lower Thermosphere (MLT) During Geomagnetic Storms by Fusing TIDI and SABER Data: A Generative Adversarial Network (GAN) Approach

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
ABSTRACT The Mesosphere and Lower Thermosphere establish an essential connection between Earth's lower atmosphere and upper atmosphere because wind patterns essential for atmospheric movement also influence energy distribution and chemical movements during geomagnetic storms that disrupt satellite operations and space weather prediction systems.
Yunhao Si
wiley   +1 more source