… of a Kalman filter variant and its performance in practice when applied to a non-linear system…
application-independent analysis of the performances of the common Kalman filter variants. …

… The optimal linear Kalman filters (Kalman, 1960b) and their approximative non-linear
extensions (non-linear Kalman filters) for state estimation of stochastic dynamic systems have been …

… non-linear Kalman filters to estimate a dynamic phasor. Application of non-linear Kalman
filter in … We collect and compare different types of filters to enrich this paper to be helpful to …

… Kalman filter, a second-order non-linear filter, and a single stage iteration filter. The three …
the performance of the filters in the cases of linear plant dynamics and a non-linear output, …

… The differences between the KF variants for non-linear systems arise mainly from distinct …
types of non-linear Kalman filters are discussed: the EKF, which is the de facto KF for non-linear …

… This paper investigates the use of non-linear functions in classical Kalman filter … of non
linear polynomial mappings in a usual linear Kalman filter in order to simulate better non linear …

… In Section 2 we describe the problem statement for applying a Kalman filter to nonlinear
systems. We argue that the principle problem is the ability to predict the state of the system. …

… Kalman filter [65]. Yet, when the system is non-linear there is no general method to derive
efficient filters… Indeed, general filtering equations describing the evolution of the pdf (see eg, [27…

… four Kalman filters developed for nonlinear systems and evaluate their performances when
applied to solve the magnetic dipoletracking and classification problem. The filters determine …

… the update step which is only de ned implicitly as the solution to a non-linear GLS problem.
… Since the state space model is non-linear, we must derive the full conditional distribution of …