Title : ( Continuous Extended Kalman Filter for the Localization of Nonlinear Stochastic State-Space System )
Authors: Hamed Keshmiri neghab , Naser Pariz ,
Full TextAbstract
This paper derives a nonlinear observer design problem for nonlinear Stochastic State-Space Systems using the Continuous Extended Kalman Filter for Accurate Trajectory Tracking, which uses a system’s Jacobian linearization along the current best estimate of its trajectory. The efficiency of Continuous Extended Kalman Filter is shown on a Trajectory Tracking Problem with sufficiently long sampling periods. Here, we showed that increased in principal diagonal of the initial covariance matrix, improve the trajectory tracking.
Keywords
, continuous exended kalman filter, localization, stochastic, jacobian
@inproceedings{paperid:1075697,
author = {Keshmiri Neghab, Hamed and Pariz, Naser},
title = {Continuous Extended Kalman Filter for the Localization of Nonlinear Stochastic State-Space System},
booktitle = {ICEE2019},
year = {2019},
location = {یزد, IRAN},
keywords = {continuous exended kalman filter; localization; stochastic; jacobian},
}
%0 Conference Proceedings
%T Continuous Extended Kalman Filter for the Localization of Nonlinear Stochastic State-Space System
%A Keshmiri Neghab, Hamed
%A Pariz, Naser
%J ICEE2019
%D 2019
