Over the past decade, unmanned aerial vehicles (UAVs) have received a significant
attention due to their diverse capabilities for non-combatant and military applications. The …

Most manufactured electrical cables suffer from reductions in their physical, mechanical and
electrical properties. These setbacks are mainly attributed to the improper control of wire …

This paper proposes a linear Model Predictive Control (MPC) for high-accuracy tracking of a
mobile robotic platform, in an indoor environment. The mission is divided into three main …

This paper presents a novel application of recursive fast orthogonal search (R-FOS) to
produce a time-varying linear state-space system model based on a historical record of input …

This work proposes a novel approach for improving the control performance of Unmanned
Aerial Vehicles (UAVs) through cooperative reinforcement learning. By sharing their …

The mass of an Unmanned Aerial Vehicles (UAV) alters while picking up or dropping off a
mass. The variable mass will deteriorate the control performance of the UAV. This …

The potential benefits of big data and machine learning techniques are yet to be fully
realized in real-time, safety-critical applications like unmanned aerial vehicle control. This is …

This research investigates the use of learning techniques to select control parameters in the
Model Predictive Control (MPC) of autonomous vehicles. The general problem of having a …

This paper presents a novel obstacle avoidance scheme for UAVs. This scheme is based on
the use of a technique recently developed by one of the authors, which is based on a …

Landing an Unmanned Aerial Vehicle (UAV) on a mobile vehicle, has been an active
research area due to its much needed applicability in numerous directions such as landing …