… ABSTRACT We modify the local ensemble Kalman filter (… augmented state ensemble
Kalman filter through numerical … model bias is used to augment the state in the Kalman filter. …

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 …

… is proposed in this section and is called the adaptive fading Kalman filter (AFKF). As
mentioned in Section 1, the difference between the AFKF and the linear Kalman filter is that the …

… presence of the attacker, the attack sequence {yk}k>0 is treated as the input of the Kalman
filter… “estimate” of the state obtained from the output of the Kalman filter by {ˆxk}k>0. Similar to (2…

… Kalman filter for state filtering in the presence of random bias. The proposed two-stage filter
includes two-reduced order filters which optimally implement the augmented Kalman filter. …

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 …

… -in-variables filtering (optimal estimate of inputs and outputs from noisy observations) and
traditional Kalman filtering (optimal estimate of state and output in presence of state and output …

… 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 a pico satellite, a conventional Unscented Kalman Filter (UKF) gives sufficiently good …
This study introduces Robust Unscented Kalman Filter (RUKF) algorithms with the filter gain …