Multi-agent systems for quadcopters

Unmanned Aerial Vehicles (UAVs) have been increasingly used in the context of remote sensing missions such as target search and tracking, mapping, or surveillance monitoring. In first part our paper we consider agent dynamics, network topologies, collective behaviors. The objective is to enable multiple UAVs collaborate toward a common goal, one would find setting. An agreement protocol carried out by multi-agents using local information, without external user input. second focuses on equations motion for specific type UAV, quadcopter, expresses them an affine nonlinear control system. Finally, illustrate work with simulation dynamically sound quadcopters augmenting particle graph theoretic approach orientation proper dynamics quadcopters.