In this paper, the unscented Kalman filtering (UKF) problem is investigated for a class of
general nonlinear systems with stochastic uncertainties under communication protocols. A …

The iterative ensemble Kalman filter (IEnKF) in a deterministic framework was introduced in …
140: 1988–2004 ( )] to extend the ensemble Kalman filter (EnKF) and improve its …

… We recall the standard notion of the Kalman filter in the case where the model f and … ,
so we will describe a version of Kalman filtering that is common in this case. The ensemble …

… ) to propose an MCC filter in Kalman filter form, which we call … C-Filter, the MC-Filter, the
unscented Kalman filter, the ensemble Kalman filter, and the Gaussian sum filter, in the presence …

… of Kalman filtering in the presence of … Kalman filter (DKF) [1]–[3], [5], [9], [12], [13], [16], [19],
[21], where each sensor node in the WSN can compute local estimates via Kalman filtering …

… of data filtering by the state estimators like Kalman filters. Among … As a result, the presence
of system or measurement … In this section, a robust central difference kalman filter structure …

… to perform distributed Kalman filtering for SNs in the presence of … For instance, a distributed
Kalman filtering fusion strategy … The present contribution is about distributed Kalman filtering …

… state space (SS) model, the celebrated Kalman filter (KF) is a low complexity optimal solution.
… that learns from data to carry out Kalman filtering under non-linear dynamics with partial …

… paper we will derive the robust extended Kalman filter for the state estimation of nonlinear
multivariable stochastic systems. The Masreliez–Martin filter (robust Kalman filter) is used as a …

… the normal performance of the Kalman filter in the presence of uncertain disturbances.
This … Kalman filter is applied to the transformed system. The properties of the obtained filter …