… contributors that discuss Kalman filtering as applied to the … Kalman filters with an emphasis
on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. …

… In [23] a similar adaptation algorithm is applied to the Unscented Kalman Filter for the …
Robust Adaptive Kalman Filters in the presence of sensor/actuator faults. These filters can detect …

… more like the simple-kriging predictor in the presence of measurement error. This formula is
to be … The recognition of the component of variation n in (2) and its presence in the optimal …

… This paper introduces a new variant of the Kalman filter, which is free from the stochastic …
Kalman filter shows the high estimation accuracy of the proposed method in the presence of …

… This paper introduces a new extension of the Kalman filter to deal with the problems of
unknown delayed measurements in the presence of non-Gaussian noises. To the best of the …

A Kalman filtering based framework for structural damage assessment under changing
environmental conditions is presented. The approach is based on the well-known property that …

… Kalman filters (… Kalman-type filters. To deal with more complicated non-Gaussian noises
such as noises from multimodal distributions, in this article, we develop a new Kalman-type filter, …

… the unscented Kalman filtering that considers also the presence of additive noise on input
… filtering and unscented Kalman filtering. The unscented Kalman filtering to the presence of …

… the presence of state constraints must be handled with care. Two popular approaches for
addressing state constraints within the Kalman filter … In this study, a consider Kalman filter that …

… Worse, when used in two-stage (cascaded) filter architectures, standard Kalman filters can
exhibit … of a centralized Kalman filter (CFJ is fairly obvious. In Figure 1, the presence of several …