飞行器博弈制导进程与展望

Game guidance can handle dynamic problems involving multi-party cooperation and competition in complex systems, which is conducive to maximizing the value of information on intelligent battlefields and promoting the intelligent development of precision guided weapons. This article summarizes the basic classification and modeling methods of game guidance, and proposes key issues of aircraft game guidance from the perspectives of terminal constraints, time constraints, overload constraints, and terminal speed constraints. Two typical game model solving frameworks, matrix game and differential game are constructed, and the algorithm solutions of game guidance are sorted out from the perspectives of analytical solutions, numerical solutions, and intelligent algorithms. Finally, the future development trends of aircraft game guidance are discussed and summarized from the perspectives of nonlinear differential game solving methods, incomplete information game algorithms, multi aircraft collaboration under unbalanced and asymmetric information, and multi type weapon system games.