… Kalman filter (SEKF), wherein the system response and health parameters are estimated
within a Joint Extended Kalman filter (… The Switching Kalman filter (SKF) has previously been …

… Abstract-The unscented Kalman filter is a superior alternative to the extended Kalman filter
… tracking for virtual reality applications in the presence of noisy data has been unexplored. In …

… Firstly, we establish the equivalence between the Kalman filter and the least-squares …
of the proposed robust estimators in the presence of outliers. Furthermore, emphasized M -robust …

… First, we study our scheme in the presence of random model errors in which the real
atmosphere is assumed to behave like a noisy version of the numerical forecast model. The …

… Many vision-based pose-estimation schemes in robot control rely on an extended Kalman
filter (EKF) that requires tuning of filter parameters. To obtain satisfactory results, EKF-based …

… This GM-estimator enables our filter to … -Kalman filter is derived from its influence function.
Simulation results revealed that our filter compares favorably with the H -filter in the presence …

… Furthermore, a sufficient condition is provided to ensure the stochastic boundedness of
filtering error in the simultaneous presence of randomly occurring cyber attacks and nonlinearities…

… Since the presence or absence of zero eigenva.lues of G, is of crucial importance, we present,
the following theorem. Theorem 1: G, has a zero eigenvalue if and only if FCT and Q, have …

… Kalman Filter (KF) that is also known as linear quadratic estimation filter estimates current
states of a system through time as recursive using input measurements in mathematical …

… that use the Kalman filter. This paper begins with a very brief introduction to the Kalman filter,
a … that gave rise to the use of the filter, and then the evolution of the use of the filter in VR. …