Results 91 to 100 of about 25,371 (266)
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 +2 more
wiley +1 more source
FEATURES OF UNSCENTED KALMAN FILTER PERFORMANCE USING POLAR MEASUREMENTS
The principle of the unscented transformation and features of Unscented Kalman filter performance using polar measurement is considered. The estimation performance of Extended Kalman filter and Unscented Kalman Filter is compared.
P. A. Khmarski, A. S. Solonar
doaj
A state is said to be diffuse if its covariance matrix is arbitrarily large. Using a modified form of the Kalman filter, necessary and sufficient conditions for the existence of diffuse constructs are obtained. Applications to likelihood evaluation, diffuse prediction and diffuse smoothing are given.
openaire +2 more sources
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti +3 more
wiley +1 more source
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie +3 more
wiley +1 more source
An ensemble Kalman-Bucy filter for continuous data assimilation
The ensemble Kalman filter has emerged as a promising filter algorithm for nonlinear differential equations subject to intermittent observations. In this paper, we extend the well-known Kalman-Bucy filter for linear differential equations subject to ...
Kay Bergemann, Sebastian Reich
doaj +1 more source
An offline methodology is applied to estimate parameters of a convective gravity‐wave scheme using momentum flux (MF) observations from constant‐level balloons (left panels: pdfs of east and west MFs in green from observations and black from EnKF). The approach integrates an ensemble Kalman filter with an expectation‐maximization algorithm and permits ...
F. Lott, P. Tandeo, M. Pulido, D. Bardet
wiley +1 more source
NONLINEAR FILTERING OF RANDOM SEQUENCES WITH EXTENDED LEAST-SQUARE METHOD 1
For nonlinear random sequences filtering the extended least-square method is proposed. The received suboptimal filter equations include linearization for nonlinear measurement function only.
V. M. Artemiev +2 more
doaj
The paper studies sensorless control for DC and induction motors, using Kalman Filtering techniques. First the case of a DC motor is considered and Kalman Filter-based control is implemented.
Gerasimos G. Rigatos, Pierluigi Siano
doaj +1 more source
Coupled observation‐operator approximations in outer‐loop coupling data assimilation
We present a methodology for coupled variational data assimilation that allows the effect of coupled observation operators whilst maintaining separate minimisations across model components. This allows us to constrain the atmosphere, ocean, and sea‐ice components of our coupled model directly from satellite radiances. We illustrate the system in action
P. A. Browne +5 more
wiley +1 more source

