Results 31 to 40 of about 792 (163)

Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm

open access: yesInternational Journal of Aerospace Engineering, 2020
Standard cubature Kalman filter (CKF) algorithm has some disadvantages in stochastic system control, such as low control accuracy and poor robustness.
FengJun Hu, Qian Zhang, Gang Wu
doaj   +1 more source

Interpolatory cubature Kalman filters

open access: yesIET Control Theory & Applications, 2015
In this study, a novel class of interpolatory cubature Kalman filters (ICKFs) with arbitrary degrees of accuracy, including the third‐degree ICKF and the fifth‐degree ICKF, are proposed based on the interpolatory cubature rule. Existing cubature Kalman filter and unscented Kalman filter can both be deemed as special cases of the proposed ICKFs ...
Yonggang Zhang   +3 more
openaire   +1 more source

Attitude heading reference algorithm based on transformed cubature Kalman filter

open access: yesMeasurement + Control, 2020
Stable and accurate attitude estimation is the key to the autonomous control of unmanned aerial vehicle. The Attitude Heading Reference System using micro-electro-mechanical system inertial measurement unit and magnetic sensor as measurement sensors is ...
Yong-jun Yu   +2 more
doaj   +1 more source

Robust Estimation in Continuous–Discrete Cubature Kalman Filters for Bearings-Only Tracking

open access: yesApplied Sciences, 2022
The model of bearings-only tracking is generally described by discrete–discrete filtering systems. Discrete robust methods are also frequently used to address measurement uncertainty problems in bearings-only tracking.
Haoran Hu, Shuxin Chen, Hao Wu, Renke He
doaj   +1 more source

Spherical Simplex-Radial Cubature Quadrature Kalman Filter [PDF]

open access: yesJournal of Electrical and Computer Engineering, 2017
A spherical simplex-radial cubature quadrature Kalman filter (SSRCQKF) is proposed in order to further improve the nonlinear filtering accuracy. The Gaussian probability weighted integral of the nonlinear function is decomposed into spherical integral and radial integral, which are approximated by spherical simplex cubature rule and arbitrary order ...
Zhaoming Li, Wenge Yang
openaire   +2 more sources

Improved square root adaptive cubature Kalman filter [PDF]

open access: yesIET Signal Processing, 2019
In this study, an improved square root adaptive cubature Kalman filter (ISRACKF) is proposed to improve the filter performance in terms of accuracy, computation efficiency, and robustness. Through the evaluated measure of non‐linearity value, the cubature rule under different accuracy levels can be adaptively selected in the dynamic process or ...
Lei Zhang   +4 more
openaire   +1 more source

Szegő Quadrature Kalman Filter for Oscillatory Systems

open access: yesIEEE Access, 2020
Filtering problems with oscillatory system dynamics commonly appear in real-life. However, the existing Gaussian filters, like the unscented Kalman filter (UKF), cubature Kalman filter CKF, Gauss-Hermite filter (GHF) and cubature quadrature Kalman filter
Abhinoy Kumar Singh
doaj   +1 more source

Inverse Cubature and Quadrature Kalman Filters

open access: yesIEEE Transactions on Aerospace and Electronic Systems
31 pages, 3 figures, 2 ...
Himali Singh   +2 more
openaire   +2 more sources

Sensorless control of PMSM using an adaptively tuned SCKF

open access: yesThe Journal of Engineering, 2019
This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath   +1 more
doaj   +1 more source

A SLAM Algorithm Based on Adaptive Cubature Kalman Filter [PDF]

open access: yesMathematical Problems in Engineering, 2014
We need to predict mathematical model of the system and a priori knowledge of the noise statistics when traditional simultaneous localization and mapping (SLAM) solutions are used. However, in many practical applications, prior statistics of the noise are unknown or time‐varying, which will lead to large estimation errors or even cause ...
Fei Yu   +4 more
openaire   +2 more sources

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