… exponential convergence of the Polynomial Extended Kalman Filter (PEKF, see [14]) used
as a state observer … -time systems (Polynomial Extended Kalman Observer, PEKO). A new …

… Kalman filter is proved to be an exponential observer (the … of the estimation error is
exponentially stable under certain … definition of exponential observer as well as exponentially …

… In Section III, we focus on the invariant extended Kalman filter (IEKF) [6] when applied to
the broad class of systems of Section II. We consider continuous-time models with discrete …

… Motivated by these results, we apply the extended Kalman filter as an observer for nonlinear
… an exponential observer [8], ie, the dynamics of the estimation error are exponentially stable…

… the constrained extended Kalman filter is an exponential observer, we give a short pause
in order to introduce the equations for a more general discrete time extended Kalman filter [12] …

… It is well known that the time-varying Kalman Filter (KF) is globally exponentially stable
and optimal in the sense of minimum variance under some conditions. However, nonlinear …

… exponentially converging observer. The necessity to implement an extended Kalman filter has
… alternative which is still a global exponential observer. While the computation burden may …

… unscented Kalman filter (UKF), used as an observer for a … Kalman filter (EKF) is an exponential
observer for non-linear systems, ie, the dynamics of the estimation error is exponentially …

… Since this approach becomes computationally unfeasible for higher dimensional parameter
vectors and large data sets, recursive filters which are similar to the linear Kalman filter are …

… state observer with an offline calculated gain scheduling approach, secondly, a continuous-time
extended Kalman filter and, thirdly, a hybrid extended Kalman filter… show an exponential …