DocumentCode
3217961
Title
Modeling for military system by weighted complex networks
Author
Wen, Rui ; Chen, Xiao-qing ; Dong, Zheng-bao ; Meng, Fan-liang ; Li, Guo-yi
Author_Institution
Dept. of Inf. Oper. & Command Training, Nat. Defense Univ. of PLA, Beijing, China
fYear
2010
fDate
9-11 June 2010
Firstpage
115
Lastpage
118
Abstract
Hierarchy of military systems is developing to network structure. For seeking laws of warfare in information age, this article improved the simple approach of using Lanchester equations set to determine combating capability, and introduced complex network theory to the research of military forces SoSs. We introduced the concept of weighted complex networks to research the modeling of military systems. With using link weight to characterize the interaction between nodes it is clear that link weight of each side will keep changing along with the evolution of the network structure. Starting from critical features of military systems, this paper simulated the attendance and destruction of combating units, also the generation and disappearance of cooperative relationship, and abstract an evolving model based on the interacting and non-linear priority growth of new nodes and internal edges which substitutes the real system and the dynamic development. In accordance with rules in the model, we simulated the establishment of military systems by MATLAB, and analyzed its properties. In conclusion, the clustering coefficient, average path length and efficiency are according to power-law obviously. Finally, military system may have a fractal structure according to the self-similarity reflected by power-law nature of the model.
Keywords
Analytical models; Automatic control; Automation; Complex networks; Equations; MATLAB; Mathematical model; Nonlinear dynamical systems; Power system modeling; Programmable logic arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location
Xiamen, China
ISSN
1948-3449
Print_ISBN
978-1-4244-5195-1
Electronic_ISBN
1948-3449
Type
conf
DOI
10.1109/ICCA.2010.5524233
Filename
5524233
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