摘要
提出机群多编队协同作战复杂网络模型,基于复杂网络自同步原理,研究网络节点动力学和耦合强度给定不变情况下,网络拓扑结构对作战网络同步能力的影响。针对作战网络特点,以最大化网络同步能力和不同层级指控节点效能为优化目标,作战网络指控结构和作战环境对通信拓扑的限制为约束条件,建立作战网络自同步优化模型。采用遗传算法,通过调整作战节点之间的通信结构对上述模型求解。仿真实验表明,获得的优化网络在保持作战网络结构特点的同时,具备更小的网络特征值比和更快的一致性收敛速度。
A complex network model of air fleet formation is provided,and the influence of network topolo-gy on synchronizability of combat network under conditions of unchanged node dynamics and coupling strength is studied based on complex networks self-synchronization theory.Then,a combat network self-synchronization optimal model to maximize the synchronizability and efficiency of leveled C2 nodes of networks constrained by C2 structure and battlefields is proposed.This model is solved by the genetic algorithm through adjusting the com-munication structure of combat nodes.Numerical simulations show that the obtained optimal network has better syn-chronization and consensus property in terms of the convergence speed and network eigenvalues.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2014年第8期1566-1572,共7页
Systems Engineering and Electronics
基金
航空科学基金(20135184008)资助课题
关键词
指挥与控制
网络拓扑
特征值比
遗传算法
自同步
command and control
network topology
eigenratio
genetic algorithm
self-synchronization
