Results 141 to 150 of about 15,255 (305)
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
Crack Monitoring in Rotating Shaft Using Rotational Speed Sensor-Based Torsional Stiffness Estimation with Adaptive Extended Kalman Filters. [PDF]
Park YH, Lee HB, Kim GW.
europepmc +1 more source
Recursive Estimation in Econometrics [PDF]
An account is given of recursive regression and of Kalman filtering which gathers the important results and the ideas that lie behind them within a small compass. It emphasises the areas in which econometricians have made contributions, which include the
Stephen Pollock
core
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
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
In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
doaj +1 more source
Procapra Przewalskii Tracking Autonomous Unmanned Aerial Vehicle Based on Improved Long and Short-Term Memory Kalman Filters. [PDF]
Luo W +12 more
europepmc +1 more source
Control System for the Navigation of the Agricultural Robots: A Review
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
Ensemble Kalman Filters with Resampling
Filtering is concerned with online estimation of the state of a dynamical system from partial and noisy observations. In applications where the state of the system is high dimensional, ensemble Kalman filters are often the method of choice.
Ghattas, Omar Al +2 more
core +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
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
Comparative study of denoising techniques for 5G communication at 3.5 GHz
This paper presents a comparative study of denoising techniques for improving 5G communication at 3.5GHz. A 5G system is simulated in MATLAB with thermal noise, intermodulation noise, and external interference.
Seyi Olukanni +3 more
doaj +1 more source

