Results 111 to 120 of about 9,274 (303)

Real-Time Updating High-Order Extended Kalman Filtering Method Based on Fixed-Step Life Prediction for Vehicle Lithium-Ion Batteries. [PDF]

Sensors (Basel), 2022
Wang J, Wen C.
europepmc   +1 more source

Optimal control and multitrophic physiologically‐based models: The binomial for successful decision support systems in insect pest management

Pest Management Science, EarlyView.
Decision‐making in integrated pest management (IPM) corresponds to an optimisation problem where the plant–pest dynamics and the control actions are constraints and where the objective function accounts for the costs of the treatments and the total income at the harvest time.
Luca Rossini, Ouassim Benhamouche, Emanuele Garone   +2 more
wiley   +1 more source

Assimilation of machine‐learning‐predicted nitrate to improve the quality of phytoplankton forecasting in the shelf‐sea environment

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee, Jozef Skákala, David Ford   +2 more
wiley   +1 more source

A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters. [PDF]

Multivariate Behav Res, 2022
Fisher ZF, Chow SM, Molenaar PCM, Fredrickson BL, Pipiras V, Gates KM.   +5 more
europepmc   +1 more source

Towards operational assimilation of surface‐sensitive microwave radiances over land at Environment and Climate Change Canada: Investigation of key factors using a 1D‐EnVar framework

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang, Mark Buehner, Yi Huang, Maziar Bani Shahabadi, Joël Bédard   +4 more
wiley   +1 more source

Identification of nonlinear lateral flow immunoassay state-space models via particle filter approach

, 2012
This is the post-print of the Article. The official published version can be accessed from the link below - Copyright @ 2012 IEEEIn this paper, the particle filtering approach is used, together with the kernel smoothing method, to identify the state ...
Zidong Wang, Min Du, Zeng, N, Liu, X, Wang, Z, Nianyin Zeng, Xiaohui Liu, Li, Y, Yurong Li, Du, M   +9 more
core   +1 more source

How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood, Suzanne Gray, John Methven, Mark Rodwell   +3 more
wiley   +1 more source

An adaptive filtering method based on EMD for X-ray pulsar navigation with uncertain measurement noise

MATEC Web of Conferences, 2017
Affected by the unstable pulse radiation and the pulsar directional errors, the statistical characteristics of the pulsar measurement noise may vary with time slowly and cannot be accurately determined, which cause the filtering accuracy of the extended ...
Li N., Kang Z. W., Liu J., Xu X. M.
doaj   +1 more source

A structurally localized ensemble Kalman filtering approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih, Ibrahim Hoteit   +1 more
wiley   +1 more source

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source