Results 131 to 140 of about 18,531 (254)
Quarterly Journal of the Royal Meteorological Society, EarlyView.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
State estimation in chemometrics : the Kalman filter and beyond / [PDF]
This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. It further applies system theory in order to develop a modular framework to be implemented on computer for the development of ...
Thijssen, P. C.(Pierre Cornelis)
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Coupled observation‐operator approximations in outer‐loop coupling data assimilation
Quarterly Journal of the Royal Meteorological Society, EarlyView.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
Distributed closed-loop EO-STBC for a time-varying relay channel based on kalman tracking [PDF]
, 2012 This paper considers distributed closed-loop extended orthogonal space-time block coding (EO-STBC) for amplify-forward relaying over time-varying channels.
Weiss, Stephan +2 more
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Quarterly Journal of the Royal Meteorological Society, EarlyView.The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley +1 more source
Exact Robust Filtering and Differentiation Based on Sliding Modes and Homogeneity
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This article addresses the problem of online estimation of the derivatives of a signal corrupted by measurement noise. The measured signal is modeled as the sum of a smooth nominal component and a uniformly bounded noise term. A key objective is to attenuate the effect of high‐frequency noise.
Jaime A. Moreno, Arie Levant
wiley +1 more source
The research on sea-bottom terrain tracking by AUV based on least squares method and Extended Kalman Filter [PDF]
, 2016 This paper studies the problem of undersea bottom-following through using the Autonomous Underwater Vehicle(AUV) equipped with Altimeter and Depth gauge.
Jiang M(蒋敏) +4 more
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International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani +1 more
wiley +1 more source
Proposta de estimador não linear intermitente para sistemas de controle via rede sem fio [PDF]
, 2013 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2013.Nesta tese, é tratado do problema de estimação em Sistemas de Controle Via Rede sem fio ...
Foletto, Tanisia de Carli
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Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source