… In Section 3, we introduce the Unscented Kalman Filter (UKF) as a method to amend the
flaws in the EKF. Finally, in Section 4, we present results of using the UKF for the different areas …

… models, mainly based on Kalman filter or extended Kalman filter (EKF) designs Citation14 …
to use the unscented Kalman filter (UKF) Citation23 Citation24 for the vehicle state estimation. …

… the unscented Kalman filter (UKF) as a derivative-free alternative to the extended Kalman
filter in the framework of state-estimation. This was extended to parameterestimation by Wan …

Based on presentation of the principles of the EKF and UKF for state estimation, we discuss
the differences of the two approaches. Four rather different simulation cases are considered …

… of unscented Kalman filters (KFs) (UKFs) for induction motor (IM) sensorless drives. UKFs
use nonlinear unscented … Four original variants of the UKF for IM state estimation, based on …

… filtering practice. For this purpose, a new state estimator based on the unscented Kalman
filtering (UKF… The first part of the paper consists of a brief introduction to the dynamic estimation …

… The filtering is started from the initial mean … A thorough treatment of the unscented Kalman
filtering, sigma-point filtering in general and connections to several other filtering algorithms …

… the state estimation is the Extended Kalman Filter (EKF… estimation methods for different
nonlinear state space models. Section 2 describes the principles of the nonlinear state estimation …

… unscented Kalman filter as the fusion method in an integrated navigation information system
[12]. An unscented Kalman filter … the unscented Kalman filter over the extended Kalman filter …

… A dual unscented Kalman Filter was developed in an attempt to solve the spacecraft dual
estimation problem. The theoretical background and motivations of the UKF were briefly …