The Kalman filter (KF) has been widely used in the state … To solve this problem, a new intelligent
KF (IKF) is proposed for … noise is computed in an intelligent manner using a fuzzy system …

… Kalman Filter (KF) is a widely used recursive estimator, first introduced, as known as linear
Kalman filter (LKF), by Kalman [22]… Kalman filter (EKF), unscented Kalman filter (UKF), indirect …

… the Kalman filter (KF). The simulation and practical experiment results show that, compared
to the extended Kalman filter (EKF) and unscented Kalman filter (UKF).The modified filter not …

… Within this paper, an adaptive Kalman filter approach, based on the filter innovation
sequence coupled with fuzzy logic is discussed as an alternative for fusing INS sensor data and …

… The necessity of existing such intelligence … an intelligence system that enables us in choosing
the best applications. Our proposed system used Kalman filtering as an intelligence part of …

… In this paper, an algorithm based on a two-step Kalman filter approach is proposed … Kalman
filter. In the first step, recursive estimation of structural state vector is derived by Kalman filter …

… Kalman filter is a difficult task that remains as an open research problem [49]. In order to
execute a stable Kalman filter … approach of neural network training using the Kalman filters [70]. …

… In this paper, an intelligent adaptive algorithm based on the … for incorporating the navigation
data is Kalman Filter (KF). In … The noise covariance in the Adaptive Kalman Filter (AKF), is …

… intelligent enhanced dual extended Kalman filter (DEKF) control technique for improving
the performance of shunt active power filter (… is compared with the Extended Kalman filter (EKF)-…

… Therefore, a growing number of studies are now available to shed some light on intelligent
… intelligent robots has been proposed in [15] – [21]. This study presents an indoor intelligent …