This paper addresses the problem of suppression of the integrated air defense system(IADS) by multiple fighters’ cooperation. Considering the dynamic changing of the number of the nodes in the operational process, a ...This paper addresses the problem of suppression of the integrated air defense system(IADS) by multiple fighters’ cooperation. Considering the dynamic changing of the number of the nodes in the operational process, a profit model for the influence of the mission’s cost for the whole system is developed for both offense and defensive sides. The scenario analysis is given for the process of suppressing the IADS by multiple fighters. Based on this scenario analysis, the modeling method and the specific expression for the payoff function are proposed in four cases for each node. Moreover, a distributed virtual learning algorithm is designed for the n-person and n-strategy game, and the mixed strategy Nash equilibrium(MSNE) of this game can be solved from the n × m × 3-dimensional profit space. Finally, the simulation examples are provided to demonstrate the effectiveness of the proposed model and the game algorithm.展开更多
基金supported by the National Natural Science Foundation of China(61603411)
文摘This paper addresses the problem of suppression of the integrated air defense system(IADS) by multiple fighters’ cooperation. Considering the dynamic changing of the number of the nodes in the operational process, a profit model for the influence of the mission’s cost for the whole system is developed for both offense and defensive sides. The scenario analysis is given for the process of suppressing the IADS by multiple fighters. Based on this scenario analysis, the modeling method and the specific expression for the payoff function are proposed in four cases for each node. Moreover, a distributed virtual learning algorithm is designed for the n-person and n-strategy game, and the mixed strategy Nash equilibrium(MSNE) of this game can be solved from the n × m × 3-dimensional profit space. Finally, the simulation examples are provided to demonstrate the effectiveness of the proposed model and the game algorithm.
