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Combat network synchronization of air fleet formation

YAN Ji, LI Xiang-min, LIU Li-jia, LIU Bo   

  1. 1.Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Science and Technology on ElectroOptic Control Laboratory, Luoyang 471023, China
  • Online:2014-08-22 Published:2010-01-03

Abstract:

A complex network model of air fleet formation is provided, and the influence of network topology 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 communication structure of combat nodes. Numerical simulations show that the obtained optimal network has better synchronization and consensus property in terms of the convergence speed and network eigenvalues.

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