Results 91 to 100 of about 12,338 (264)
The Annals of Statistics, 1991 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
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
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
Boundary Value Problems Arising in Kalman Filtering
Boundary 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
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
Application of Kalman filtering based on sequential processing for satellite navigation
Tongxin 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
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
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
Journal of Field Robotics, EarlyView.ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Journal of Field Robotics, EarlyView.ABSTRACT Early detection of breast abnormalities remains challenging: manual palpation is subjective and operator‐dependent, while imaging modalities may miss small or subtle stiffness anomalies. This paper presents a biomimetic multifinger robotic palpation approach intended to support early breast‐cancer screening and follow‐up assessment as a proof ...
Kai Cheng +7 more
wiley +1 more source