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首页> 美国政府科技报告 >Stochastic Process Decision Methods for Complex-Cyber-Physical Systems
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Stochastic Process Decision Methods for Complex-Cyber-Physical Systems

机译：复杂网络物理系统的随机过程决策方法

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Research efforts were conducted under this contract to define, quantify, and estimate the complexity of a system. Further, efforts were made to identify major contributors to this estimated system complexity in an effort to inform resource allocation procedures aimed at reducing system complexity. In this research, we have defined complexity as the potential of a system to exhibit unexpected behavior in the quantities of interest. We measure this form of complexity using information entropy. To determine the most significant contributors within a system to this complexity, we derived a sensitivity analysis procedure based on mutual information that rigorously identifies the amount of complexity that could be reduced if complete knowledge of a given system component could be obtained.

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