… Kalman filter cannot track accurately the whole range of conductivity changes during cardiac
and respiratory cycles. The extended Kalman filter … that uses the extended Kalman filter to …

… with the Kalman filters, which improves the estimation accuracy in some extent. To improve
the performance of Kalman filters in SoC estimation, the adaptive extended Kalman filter (…

… In a series of three papers, we propose methods, based on extended Kalman filtering (EKF),
that are able to accomplish these goals for a lithium ion polymer battery pack. We expect …

… the extended Kalman filter. It was previously suggested in [4] that the extended Kalman filter
… the training methods indicated that the extended Kalman filtering approach was superior to …

… sets, and it is shown that extended Kalman filter has a better performance as compared to …
function with the extended Kalman filter has noise rejection property. Kalman filter is also used …

… induction motor using an extended Kalman filter algorithm [81… to be augmented in the
extended Kalman filter, because the … algorithm that uses an extended Kalman filter to estimate the …

… Time domain analysis methodologies based on measured vibration data, such as the least
squares estimation and the extended Kalman filter (EKF), have been studied and shown to …

… A popular method that does so is the extended Kalman filter (EKF). This not only provides
a way to use traffic data to correct the model state but also allows for filtering of measurement …

… In this paper, the extended Kalman filtering problem is investigated for a class of nonlinear
systems with multiple missing measurements over a finite horizon. Both deterministic and …

Fast parameter estimation is a non-trivial task, and it is critical when the system parameters
evolve with time, as demanded in real-time control applications. In this study, a new …