Real-time control systems rely on reliable estimates of states and parameters in order to
provide accurate and safe control of electro-mechanical systems. The task of extracting state …

An accurate battery capacity and state estimation method is one of the most significant and
difficult techniques to ensure efficient and safe operation of the batteries for electric vehicles …

The dynamics of the carotid artery wall has been recognized as a valuable indicator to
evaluate the status of atherosclerotic disease in the preclinical stage. However, it is still a …

State estimation of nonlinear dynamical systems has long been driven by the goals of
accuracy, computational efficiency, robustness, and reliability. With the rapid evolution of …

Sliding innovation filter (SIF) has recently been introduced as a robust strategy for estimation
of linear systems. The SIF has been extended to nonlinear systems via analytical …

It is well known that Wiener filter and Kalman filter (KF) like techniques are sensitive to
misspecified covariances, uncertainties in the system matrices, filter initialization, or …

Kalman Filter (KF) is widely used in navigation as a data-fusion algorithm. When KF is
applied in high-speed Unmanned Aerial Vehicle (UAV) mounted with low-cost integrated …

An extension of the linear H∞ filter, presented here as the extended H∞ particle filter (EH∞
PF), is used in this work for attitude estimation, which presents a process and measurement …

Hydrological model and observation errors are often non-Gaussian and/or biased, and the
statistical properties of the errors are often unknown or not fully known. Thus, determining …

We present robust dynamic resource allocation mechanisms to allocate application
resources meeting Service Level Objectives (SLOs) agreed between cloud providers and …