This article has been published in the journal Chaos, Solitons & Fractals with the title " An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data "
Vasileios E Papageorgiou
exaly +4 more sources
Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation
A new algorithm called maximum correntropy unscented Kalman filter (MCUKF) is proposed and applied to relative state estimation in space communication networks.
Xi Liu +4 more
doaj +3 more sources
An Improved Unscented Kalman Filter Applied to Positioning and Navigation of Autonomous Underwater Vehicles [PDF]
To enhance the positioning accuracy of autonomous underwater vehicles (AUVs), a new adaptive filtering algorithm (RHAUKF) is proposed. The most widely used filtering algorithm is the traditional Unscented Kalman Filter or the Adaptive Robust UKF (ARUKF).
Jinchao Zhao +7 more
doaj +2 more sources
AN APPROACH ON ADVANCED UNSCENTED KALMAN FILTER FROM MOBILE ROBOT-SLAM [PDF]
In the past 30 years, Kalman filter is a classical method to solve the problem of simultaneous localization and mapping (SLAM) of mobile robots. Extended Kalman filter (EKF) and unscented Kalman filter (UKF) are derived from Kalman filter.
L. Yan, L. Zhao
doaj +1 more source
A Code for Unscented Kalman Filtering on Manifolds (UKF-M) [PDF]
The present paper introduces a novel methodology for Unscented Kalman Filtering (UKF) on manifolds that extends previous work by the authors on UKF on Lie groups. Beyond filtering performance, the main interests of the approach are its versatility, as the method applies to numerous state estimation problems, and its simplicity of implementation for ...
Martin Brossard +2 more
openaire +2 more sources
Mechanical speed estimation of a DFIG based on the Unscented Kalman Filter (UKF)
This work proposes a new estimation technique for the doubly-fed induction generator (DFIG) variables. Researchers have designed numerous sensorless control strategies for the DFIG used either for mechanical speed, electromagnetic torque, or rotor position estimation.
Hicham Ben Sassi +4 more
openaire +3 more sources
Unscented Kalman filter (UKF)–based nonlinear parameter estimation for a turbulent boundary layer: a data assimilation framework [PDF]
Abstract A turbulent boundary layer is a ubiquitous element of fundamental and applied fluid mechanics. Unfortunately, accurate measurements of turbulent boundary layer parameters (e.g. friction velocity
Zhao Pan +4 more
openaire +2 more sources
Filtering performance analyizing for Relative Navigation using Single Difference Carrier-Phase GPS [PDF]
Satellite formation flying can provide the platform for interferometric observation to acquire the precise data and ensure the flexibility for space mission.
In-Kwan Park +4 more
doaj +1 more source
State Estimation of the Vinyl Acetate Reactor Using Unscented Kalman Filters (UKF) [PDF]
The main objective of our research is to develop several unscented transform techniques (UTT) to estimate the state of the nonlinear processes such as an improvement of an extended Kalman filter (EKF) approach. The extended Kalman filter (EKF) has become a standard nonlinear estimation technique in control systems and parameter estimation for nonlinear
Tudoroiu, N., Khorasani, K.
openaire +1 more source
An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation
An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. Since the radar azimuth angle will restart to count after each revolution of the radar, and when the aircraft just passes the abrupt angle ...
Dazhang You +5 more
doaj +1 more source

