… an central difference Kalman filter (CDKF) based Simultaneous Localization and Mapping
(SLAM) algorithm, which is an alternative to the classical extended Kalman filter based SLAM …

… of Kalman filter and extended Kalman filter. This chapter aims for those who need to teach
Kalman filters to others… The main difference from the Kalman filter is that the extended Kalman …

… This article reviews applications of the Kalman filter to atomic … Then, we apply the Kalman
filter to clock estimation, clock … We now describe an application where clock differences are …

… Kalman filter (EKF) and Central Difference Kalman Filter (CDKF… Kalman filter such as
Extended Kalman Filter (EKF) [9], Unscented Kalman Filter (UKF), Central Difference Kalman Filter …

… This paper introduces a quasi maximum likelihood approach based on the central difference
Kalman filter to estimate non-linear dynamic stochastic general equilibrium (DSGE) models …

… fractional central difference Kalman filter for nonlinear discrete … adaptive fractional central
difference Kalman filter is derived. The … the accuracy and effectiveness of the two Kalman filters. …

… for the Kalman filter, we begin with the goal of finding an equation that computes an a
posteriori state estimate as a linear combination of an a priori estimate and a weighted difference …

… the central difference Kalman filter by fractional … Kalman filter and unscented Kalman filter
are widely used for SOC estimation. In this paper, an adaptive central difference Kalman filter is …

… Kalman filter unsatisfactory. This paper investigates the control of divergence in a Kalman filter
… The only difference between the ordinary unmodified Kalman filter and the machine noise …

… cell difference model (CDM) to evaluate the SOC difference. The parameters of mean-difference …
SOC and the cell SOC differences are estimated by using extended Kalman filter (EKF). …