Swarm Confrontation Method Based on Nash Equilibrium Seeking in Multi Coalition Non-cooperative Games

Swarm systems have shown outstanding application potential in refusal environments, and the con-frontation between enemy and friendly cluster systems will be one main form of combat in the future. According to the swarm confrontation scenarios with limited resources or decision-making, the mutual coupling and constrained decision-making variables of agents of both sides exist. The swarm confrontation model is established based on multi coalition noncooperative games. By designing a Nash equilibrium searching algorithm for multi coalition noncooperative games, the optimal strategy of distributed swarm is obtained. Finally, the interference and anti-interference scenarios based on time-varying formation tracking is defined to verify the effectiveness of the simulation results of the proposed algorithm.