… algorithms which relies on the extended Kalman filter linearization paradigm. Consensus
is … It is shown that the considered family of distributed Extended Kalman Filters enjoys local …

… In this paper, a stable and robust filter is proposed for structural identification. This filter
resolves the instability problems of the traditional extended Kalman filter (EKF). Instead of ad hoc …

… extended Kalman filter (EKF2) as a theoretically sound alternative to other similar algorithms
such as the unscented Kalman filter (… all sigma point filters has to be extended to get correct …

… In this paper an adaptive variant of the global, extended Kalman filter that exhibits substantially
… Neural networks Non-linear multivariate regression Pattern classification Kalman filter …

… consists of a simplified extended Kalman filter that is integrated … the estimation involves a
bank of extended Kalman filters. … how a simple extended Kalman filter algorithm can solve the …

… is developed based on the extended Kalman filter. First, a … linear systems, the Kalman
filter can also be extended for its … Kalman filter so obtained is called extended Kalman filter (…

… LEFT INVARIANT EXTENDED KALMAN FILTER We now design a first Invariant Extended
Kalman Filter, which can be seen as a generalization and an improvement of the MEKF. It is a …

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

… In this paper the extended Kalman filter is used with a nonlinear multilayer quasi-geostrophic
(QG) model. This provides us with both a realistic ocean model and a very sophisticated …

… introduced to facilitate achieving this extension. As in the … extended Kalman filter (EKF), and
is shown to be equivalent to the EKF with a decoupled computing structure. A nonlinear filter …