Results 81 to 90 of about 9,303 (171)

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 xuebao
Aiming 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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Extraction and Filter Algorithm of Guidance Information for Full-strapdown Seeker on Rotation Missile

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
doaj   +1 more source

Unscented Kalman Filter Based Attitude Estimation of a Quadrotor

Havacılık ve Uzay Teknolojileri Dergisi, 2021
Quadrotors are well - known unmanned aerial vehicle structures that have some advantages such as hovering, vertical take – off and landing, and low – speed flight. On the other hand, quadrotors are subjected to modeling and sensor uncertainties that lead
Aziz Kaba
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The Design Method of Enhanced Unscented Kalman Filter Considering UT Transform Truncation Error

IEEE Access
Although the Unscented Kalman Filter (UKF) generally outperforms the Extended Kalman Filter (EKF) due to its superior approximation of nonlinear state transition functions, the core Unscented Transform (UT) still cannot precisely capture complex ...
Ziran Luo, Chenglin Wen
doaj   +1 more source

Filtering in Finance. [PDF]

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, Javaheri, Alireza, Lautier, Delphine   +2 more
core  

Simultaneous Estimation of Nonlinear Systems Driven by Unknown Nonlinear Actuator Using Unscented Kalman Filter (UKF)

Transactions of the Society of Instrument and Control Engineers, 2009
Yasuharu HATTORI, Shuichi ADACHI
openaire   +2 more sources

Unscented Kalman Filter for Determination of Spacecraft Attitude Using Different Attitude Parameterizations and Real Data

Journal of Aerospace Technology and Management, 2016
The non-linear estimators are certainly the most important algorithms applied to real problems, especially those involving the attitude estimation of spacecraft.
Roberta Veloso Garcia, Hélio Koiti Kuga, Maria Cecília F. P. S. Zanardi   +2 more
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EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING

Научный вестник МГТУ ГА, 2016
The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the
I. A. Kudryavtseva
doaj  

Application of the Unscented Kalman Filter for Tracking a Maneuvering Tank Modeled with a Second-Order Gauss-Markov Process: A Comparative Analysis with the Extended Kalman Filter

Journal of Aerospace Technology and Management
This paper presents the application of the unscented Kalman filter (UKF) for estimating the dynamic states of a maneuvering tank using a second-order Gauss-Markov process model.
Hai Tran Van, Dien Nguyen Ngoc, Dung Pham Trung, Phon Nguyen Duy   +3 more
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