Abstract
AbstractDistributed control and decision based on the potential game is a strategy that considers both individual and collective interests, because of its advantages in gradually improving the benefits of the group through the optimal choice of agents. Potential game is a reasonable solution to the problem of incomplete information in the distributed system, therefore, an unmanned aerial vehicle (UAV) task assignment model based on the potential game is designed. An improved spatial adaptive play (SAP) algorithm was proposed to solve the optimal solution by adjusting the coalition’s structure, and the convergence and balance of Nash equilibrium (NE) are proved. The simulation results indicate that our proposed improved potential game model can solve the UAV task assignment problem under the distributed framework, and has good optimization performance and convergence efficiency.KeywordsUnmanned aerial vehicle (UAV)Task assignmentPotential gameSpatial adaptive play (SAP)
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