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 …

We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

Online estimation of the internal states is a perquisite for monitoring, control, and fault
diagnosis of many engineering processes. A cost effective approach to monitor these …

Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …

Accurately tracking and predicting behaviors of surrounding objects are key prerequisites for
intelligent systems such as autonomous vehicles to achieve safe and high-quality decision …

Accurate real-time state estimation plays an important role in distributed generation (DG)
networks. In order to establish a reliable communication link for estimation, an information …

The development of distributed generation raises high requirement on accurate real-time
state estimation with phasor measurement unit (PMU) for wide-area measurement systems …

In this work, we investigate the performance of nonlinear model predictive control (NMPC)
and moving horizon estimation (MHE) in a feedback control system subject to different …

In this paper, we propose a method for online assessing the performance of a prognostic
approach in situations of very poor knowledge on the degradation process. In particular, we …

This paper presents a new standoff tracking framework of a moving ground target using
UAVs with limited sensing capabilities and motion constraints. To maintain persistent track of …