Control and Position Tracking for UAVs.

This summary provides an overview of three articles from a Special Issue of Applied Science on the topic of control and position tracking for unmanned aerial vehicles (UAVs). The first article proposes a joint radar-communication optimization algorithm for maximizing radar localization performance under communication constraints. The second article discusses a dynamic 2D visual servoing method for UAVs to track ground vehicles using a single camera. The third article presents a linear matrix inequalities-based linear parameter varying control scheme for quadrotors with time-varying payload. The articles highlight the importance of further research and experimentation to bridge the gap between theoretical control schemes and real-world applications. [Extracted from the article]