Research Of M&S Ecosystem Based On Data Driven

Zhao Zheng, Zhang Chao,Liu Jiaqi, Zhang Shengjun

PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019)(2019)

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摘要
The paper focuses on the M&S ecosystems based on data driven. We proposed a new perspective of information to build a ULS-liked M&S system. Under this perspective, formalism of M&S Ecosystem was developed and the mechanism was designed based on the data driven pattern. We suggested a new concept of information box as an atomic body in M&S ecosystems, and design its structure. At last, we provide a light and flexible mechanism to develop and update M&S ecosystems.
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关键词
data driven control, M&S ecosystem, ULS
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