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New method models and repairs uncertainty-driven inconsistencies in Cyber-Physical Systems

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新方法来管理网络物理系统（CPS）中由不确定性引起的不一致。通过将不一致重新表述为干预响应建模问题，他们可以训练一个代理模型来根据传播的不确定性几何形状预测不一致。与传统的蒙特卡洛方法相比，这种方法显著减少了评估时间，能够对不确定性驱动因素进行更广泛的分析，并有助于通过最小干预来恢复系统一致性。 AI

排序理由 学术论文，详细介绍了管理网络物理系统中不确定性的新方法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

New method models and repairs uncertainty-driven inconsistencies in Cyber-Physical Systems

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学术论文，详细介绍了管理网络物理系统中不确定性的新方法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Johannes M\"akelburg, Tim Schwabe, Maribel Acosta ·

    在网络物理系统开发中估计不确定性下的不一致响应面

    arXiv:2609.11331v1 Announce Type: new Abstract: Cyber-Physical Systems (CPS) are commonly represented through multiple interconnected models. During development, CPS consistency requires that shared model elements remain compatible across these models. Uncertainty, for example, d…

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