More and more satellites are populating the sky nowadays in the Low Earth orbits (LEO).
Most of the targeted applications are related to broadband and narrowband …

State estimation of dynamical systems in real-time is a fundamental task in signal
processing. For systems that are well-represented by a fully known linear Gaussian state …

The field of autonomous mobile robots has undergone dramatic advancements over the past
decades. Despite achieving important milestones, several challenges are yet to be …

Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …

In the Mobile Robotics domain, the ability of robots to locate themselves is one of the most
important events. By locating, mobile robots can obtain information about the environment …

Autonomous vehicle technologies have evolved quickly over the last few years, with safety
being one of the key requirements for their full deployment. However, ensuring their safety …

Renewable energy (RE), particularly solar photovoltaic (PV) systems, is a promising
alternative to traditional energy sources for worldwide electricity generation. In recent years …

This paper proposes methods of battery state-of-charge (SoC) estimation using Gaussian
processes (GPs): GP-Unscented Kalman filter (GP-UKF) and GP-Particle filter (GP-PF) …

The inherent limitations in scaling up ground infrastructure for future wireless networks,
combined with decreasing operational costs of aerial and space networks, are driving …

Uncertainties unavoidably exist in modeling for nonlinear systems: state equation,
measurement equation, and/or noises statistics might be uncertain. Such model mismatches …