Results 101 to 110 of about 9,465 (199)
A high-resolution pointing system for fast scanning platforms: The EBEX example
, 2016 The E and B experiment (EBEX) is a balloon-borne telescope designed to measure the polarization of the cosmic microwave background with 8' resolution employing a gondola scanning with speeds of order degree per second.
Aboobaker, Asad +14 more
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In this article we present an introduction to various Filtering algorithms and some of their applications to the world of Quantitative Finance. We shall first mention the fundamental case of Gaussian noises where we obtain the well-known Kalman Filter ...
Galli, Alain +2 more
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A Multi-Sensor Fusion Underwater Localization Method Based on Unscented Kalman Filter on Manifolds
SensorsIn recent years, the simplified computation of position and velocity changes in nonlinear systems using Lie groups and Lie algebra has been widely used in the study of robot localization systems.
Yang Wang +4 more
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IEEE Access, 2019 Unscented Kalman filter (UKF) is one type of the sigma point Kalman filters and it is based on unscented transformation. UKF is used for parameter estimation of various dynamic systems and for such purpose either joint UKF (JUKF) or dual UKF (DUKF ...
Altan Onat
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Road Adhesion Coefficient Estimation Method for Distributed Drive Electric Vehicles Based on SR-UKF
VehiclesTo improve recognition accuracy, convergence speed, and numerical stability in estimating the road adhesion coefficient for distributed-drive electric vehicles, a nonlinear seven-degree-of-freedom vehicle dynamics model was developed based on a modified ...
Jinhui Li, Xinyu Wei, Hui Peng
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MATEC Web of Conferences, 2018 Strapdown seekers are superior to platform seekers for their simple structure, high reliability and light weight but cannot measure the line-of-sight angle rate information for the guidance of rotation missile directly. This paper aims at the engineering
Liu YongShan, Song Li, Li JingLong
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State-Space Inference and Learning with Gaussian Processes
, 2010 State-space inference and learning with Gaussian processes (GPs) is an unsolved problem. We propose a new, general methodology for inference and learning in nonlinear state-space models that are described probabilistically by non-parametric GP models. We
Deisenroth, MP, Rasmussen, CE, Turner, R
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Performance Comparison of Two Estimators for Two-Phase Permanent Magnet Synchronous Motor
مجلة النهرين للعلوم الهندسية, 2011 This paper presents and compares the performance of two Kalman filter schemes, the discrete extended Kalman filter (EKF) and unscented Kalman filter (UKF) for estimating the states (winding currents, rotor speed and rotor angular position) of two-phase ...
Amjad J. Humaidi
doaj
Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms
Liaoning Shiyou Huagong Daxue xuebaoAiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the ...
Dongning WANG, Yueyang HUANG, Yuanbo SHI
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