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English(EN) Koopman operator theory: fundamentals, control, and applications

Koopman算子理论教程涵盖线性系统表示与控制

本文介绍了Koopman算子理论,一种用于线性表示复杂动力学系统的方法。它详细介绍了数据驱动技术,如扩展动态模式分解(EDMD),用于创建有限维近似。该教程还涵盖了系统与控制中的应用,包括控制器设计和带有配套GitHub代码的仿真研究。 AI

影响 为复杂系统的建模和控制提供了理论框架和实用工具,可能影响机器人和自主系统中的AI应用。

排序理由 该集群包含一篇在arXiv上发表的学术论文。[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 →

Koopman算子理论教程涵盖线性系统表示与控制

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该集群包含一篇在arXiv上发表的学术论文。[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) · Igor Mezi\'c, Jorge Cort\'es, Karl Worthmann, Mircea Lazar, Armin Lederer ·

    Koopman算子理论:基础、控制与应用

    arXiv:2607.01819v1 Announce Type: cross Abstract: The Koopman operator has gained considerable attention due to its ability to provide a global linear representation of highly complex dynamical systems. The operator describes nonlinear dynamics in a linear way through the lens of…