ITM Web Conf.
Volume 28, 2019Computer Applications in Electrical Engineering (ZkwE’2019)
|Number of page(s)||2|
|Published online||15 July 2019|
Double hybrid Kalman filtering for state estimation of dynamical systems
Poznan University of Technology, Faculty of Electrical Engineering, Institute of Control, Robotics and Information Engineering, Division of Control and Robotics
2 Poznan University of Technology, Faculty of Computing, Institute of Automation and Robotics, Division of Electronic Systems and Signal
* Corresponding author: firstname.lastname@example.org
In this paper authors present a new approaches to the hybrid Kalman filtering and modified hybrid Kalman filtering, with the changed order of methods inside (Unscented Kalman Filter and Extended Kalman Filter). For these algorithms, the modification based on double use of Hybrid Kalman Filters (Excented and Unscented) has been proposed. This new modification has been checked for Hybrid Kalman Particle Filters too, for the variable number of particles. Based on the obtained results, one can see that duplication of hybrid filters can improve the estimation quality.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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