Results 71 to 80 of about 133,125 (287)
Penalized Ensemble Kalman Filters for High Dimensional Non-linear Systems [PDF]
, 2016 Elizabeth Hou +2 more
openalex +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 +3 more
wiley +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 +1 more
wiley +1 more source
Quality and Reliability Engineering International, EarlyView.ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo +6 more
wiley +1 more source
Multiple Vehicle Tracking using Adaptive Gaussian Mixture Model and Kalman Filter [PDF]
, 2016 Fandy Setyo Utomo
openalex +1 more source
Riemannian Trust-Region based Adaptive Kalman filter with unknown noise Covariance matrices [PDF]
, 2021 Rahul Moghe +2 more
openalex +1 more source
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
Systolic VLSI for Kalman filters [PDF]
A novel two-dimensional parallel computing method for real-time Kalman filtering is presented. The mathematical formulation of a Kalman filter algorithm is rearranged to be the type of Faddeev algorithm for generalizing signal processing.
Chang, J. J., Yeh, H.-G.
core +1 more source
Spacecraft Attitude Estimation using Huber-based Kalman Filter [PDF]
, 2014 Wei Li +3 more
openalex +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
Journal of Field Robotics, EarlyView.ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source