English(EN) An Introduction to Sparse Identification of Nonlinear Dynamics for Engineering Applications

教程介绍SINDy用于工程方程恢复

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-16 14:46

一篇新的教程论文介绍了用于工程应用的非线性动力学稀疏识别（SINDy）方法。SINDy通过从更小的数据集中恢复可解释的控制方程，解决了传统代理建模技术（如神经网络）的局限性。该论文详细介绍了SINDy的扩展，并提供了关于识别无人机系统动力学和混沌热虹吸换热器系统动力学的案例研究。 AI

排序理由该集群包含一篇发表在arXiv上的研究论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.LG TIER_1 English(EN) · Yao Cheng Li, Ana Larra\~naga, Steven L. Brunton, Urban Fasel · 2026-07-17 04:00

工程应用非线性动力学稀疏识别简介

arXiv:2607.15077v1 Announce Type: new Abstract: Many engineering problems involve phenomena whose governing equations are poorly characterized or only partially known. Surrogate modeling techniques such as neural networks can capture the behavior of these systems, but they typica…
arXiv cs.LG TIER_1 English(EN) · Urban Fasel · 2026-07-16 14:46

工程应用非线性动力学稀疏识别介绍

Many engineering problems involve phenomena whose governing equations are poorly characterized or only partially known. Surrogate modeling techniques such as neural networks can capture the behavior of these systems, but they typically demand large training datasets that are diff…