This invention provides an
autonomous control method for a
drone swarm based on VGG16 and
virtual game theory. The drones utilize a pre-trained attitude recognition model to identify the historical movement information of their opponents and calculate the opponent's strategy tendency at the previous moment based on this information. Then, the drones select a candidate action from a set of potential actions, calculating the opponent's strategy tendency and probability of choosing that action according to the game theory formula. A reward function is designed, and the drones select their own action based on the obtained opponent's strategy probability using the optimal response
decision rule, observing the changes in the opponent's actions until the entire
drone swarm reaches a
stable state. This enables the analysis and game theory of multiple surrounding drones. When encountering
signal interference, this invention allows some
drone units to malfunction while the drone itself can adjust its movement attitude, maintaining
relative stability for the entire swarm.