… The problem of quantifying robot localization safety in the presence of undetected sensor
faults is … An extended Kalman filter is employed to estimate the robot state, and a sequence of …

… that make Kalman filtering intractable. Yet, there has been evidence that Kalman filtering with
… We recall in this section a known property of the linear Kalman filter regarding its ability to …

Iterative feedforward tuning (IFFT) enables high performance for motion systems that perform
varying tasks without the need for system models. In this paper, IFFT is employed for a …

… for how to robustify the Kalman filter. Specifically, we develop … the multivariate-rbased
Kalman filter IS described, ItS properties … distribution in the presence of a "moderate"observation. …

… , and a traditional Kalman filter (KF) … Kalman filter (REKF) is developed for the attitude
estimation of small satellite equipped with only three-axis magnetometer. By adjusting the Kalman …

… more like the simple-kriging predictor in the presence of measurement error. This formula is
… The recognition of the component of variation in (6) and its presence in the optimal predictor …

… A comprehensive study of filter performance is carried out in the presence of various moment
closure errors which are enhanced by additional model errors due to incorrect parameters …

… The proposed method has a stronger tracking ability to the true state than the standard
Kalman filter in the presence of modeling errors. Furthermore, by selecting a relatively small …

… if no prior information regarding the presence of outliers in the data is available. Otherwise,
if the user has prior knowledge regarding the strong or weak presence of outliers in the data …

… generated by the Extended Kalman Filter (EKF) and is … as stirred reactors in the presence of
exothermic chemical reactions. … experimental study is to detect the presence of such faults on-…