Approach for air-to-air confrontment based on uncertain interval information conditions

作     者：LI Qiuni YANG Rennong FENG Chao LIU Zongcheng 

作者机构：Aeronautics and Astronautics Engineering College Air Force Engineering University Unit 66133 of the PLA 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2019年第30卷第1期

页      面：100-109页

核心收录：

学科分类：07[理学] 08[工学] 

基　　金：supported by the National Natural Science Foundation of China(61603411 60573172 50875132) 

主　　题：interval information integrated air defense system (IADS) air combat chaotic particle swarm optimization (CPSO) game. 

摘      要：Model combat information conditions are always uncertain and varied, the uncertain interval theory is therefore introduced into the research of multiple fighters suppressing the integrated air defense system(IADS) problem. Considering that the combat information conditions are uncertain intervals, the payoff function of the game for multiple fighters suppressing the IADS is *** the operation rules for interval numbers and the possibility degree, an improved chaotic particle swarm optimization(CPSO)is designed to solve the proposed model so as to obtain the optimal game solution. Comparison simulations are performed to analyze the influence of the weapons consumption and the distances of non-escaped zone and jamming on air combat result. Simulation results suggest that Nash equilibrium is achieved and verify the effectiveness of the proposed method.