Results 41 to 50 of about 65,516 (291)
Enhanced Navigation Accuracy Using Nonlinear Kalman Filters in INS/GPS Integration
Majlesi Journal of Electrical EngineeringThis study explores the challenges of error accumulation in inertial navigation systems (INS) and presents a solution to enhance navigation accuracy.
Mohammadreza Mollaei +2 more
doaj +1 more source
Comparison of extended and ensemble based Kalman filters with low and high resolution primitive equation ocean models [PDF]
Nonlinear Processes in Geophysics, 2005 Kalman filters are widely used for data assimilation into ocean models. The aim of this study is to discuss the relevance of these filters with high resolution ocean models. This was investigated through the comparison of two advanced Kalman filters: the
I. Hoteit, G. Korres, G. Triantafyllou
doaj
Kalman Filtering with Unknown Noise Covariances [PDF]
, 2006 Since it is often difficult to identify the noise covariances for a Kalman filter, they are commonly considered design variables. If so, we can as well try to choose them so that the corresponding Kalman filter has some nice form.
Nilsson, Martin
core +1 more source
Ensemble Kalman methods for high-dimensional hierarchical dynamic space-time models
, 2018 We propose a new class of filtering and smoothing methods for inference in high-dimensional, nonlinear, non-Gaussian, spatio-temporal state-space models.
Katzfuss, Matthias +2 more
core +2 more sources
Bioinspired Adaptive Leg‐Claw Enables Robust Perching and Grasping for UAVs
Advanced Science, EarlyView.Inspired by owl limb morphology and bat roosting behavior, this study presents a bioinspired adaptive leg‐claw mechanism that enables UAVs to perform robust and versatile perching and grasping. The design integrates a four‐link tibial structure, tension‐driven deformable feet, and active control, enabling stable perching on various branches and ...
Tianyu Cheng +6 more
wiley +1 more source
IEEE Photonics Journal, 2018 Numerical and experimental investigations are carried out on the performance of parallelized Kalman filters applied for mitigation of the excess phase noise of fast tunable lasers.
Fan Liu +3 more
doaj +1 more source
Frontiers in Physics, 2021 COVID-19 is a virus that spread globally, causing severe health complications and substantial economic impact in various parts of the world. The COVID-19 forecast on infections is significant and crucial information that will help in executing policies ...
Abdullah Ali H. Ahmadini +7 more
doaj +1 more source
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters [PDF]
, 2010 Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided with a fast and reliable tracking system that localizes people in the neighbourhood ...
A. Tapus +14 more
core +1 more source
Graph‐based imitation and reinforcement learning for efficient Benders decomposition
AIChE Journal, EarlyView.Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source
Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan +3 more
wiley +1 more source