A New Mean-Field Game Approach for Closed-Loop Strategic Swarm Maneuvering

In this paper, we propose a Mean-Field Game (MFG) approach for modeling the flocking behavior of Unmanned Aerial Vehicles (UAVs) that might be used in massive attack-defense engagements and optimizing their trajectories in a way that minimizes the overall cost (i.e. energy consumption), which results in enhancing the overall performance of the swarm. A series of simulations are conducted using a variety of control strategies and reference trajectory functions, in which the results showed the promising of our proposed mean field control approach for a wide range of application of swarm of agents in closed-loop approach using optimal feedback control law.