English(EN) Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections

新方法预测和控制混沌系统中的极端事件

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-05 04:00

研究人员开发了一种新技术，用于识别和预测混沌动力系统中的极端事件。该方法使用通过可微分编程框架中的反向传播导出的敏感性平衡投影，来揭示驱动这些事件的潜在机制。该方法已成功应用于各种系统，包括流体动力学、振荡器网络和海浪形成，证明了其预测事件和设计控制器以防止事件发生的能力。 AI

影响引入了一种预测和控制复杂系统行为的新颖方法，可能适用于现实世界的现象。

排序理由该集群包含一篇详细介绍新科学方法的学术论文。

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

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arXiv cs.LG TIER_1 English(EN) · Nicholas Zolman, Sajeda Mokbel, Samuel E. Otto, Steven L. Brunton · 2026-06-05 04:00

揭示极端事件机制以进行预测和控制：敏感性平衡投影

arXiv:2606.05618v1 Announce Type: cross Abstract: Extreme events -- such as earthquakes and coronal mass ejections -- are common in many chaotic dynamical systems, yet are difficult to characterize and predict due to the subtle instability mechanisms that drive them. In this work…