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A Dynamic Super-network Model of Command Information System Driven by Task-Flow |
CUI Qiong, LI Jianhua, RAN Haodan, NAN Mingli
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Information and Navigation College, Air Force Engineering University, Xi’an 710077,China |
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Abstract Traditional CIS modeling methods have disadvantages such as unilateralism, inactivity and homogeneity, which is difficult to describe inherent mechanism of the complex system exactly. Due to this problem, we propose a dynamic super-network modeling method on the basis of being driven by task-flow. Firstly, we construct a multi-field structure space model for CIS, and describe the dynamic mechanism of CIS by defining operational task space, function space and platform space, as well as mapping relationships between them. Secondly, we define function network as the static super-network, and then based on scheduling and consecution of tasks, we establish the dynamic super-network model driven by task-flow, with defining some correlative parameters. At last, we verify the effectiveness and maneuverability of the model by analyzing the simulation.
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Received: 18 September 2016
Published: 10 January 2019
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