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SINDy（Sparse Identification of Nonlinear Dynamics）方法是一种强大的 数据驱动 技术，用于从时间序列数据中推导出系统的非线性动力学方程。 SINDy算法是一种稀疏非线性动力学识别算法，通过处理时间序列数据，提取可解释且具有泛化能力的动力学系统模型。 它可以将时间序列数据转化为常微分方程（ODE）或偏微分方程（PDE）。 This notebook gives an overview of the sparse identification of nonlinear dynamical systems (sindy) method and discusses the relationship between sindy and pysindy.

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Sindy is a model discovery method which uses sparse regression to infer nonlinear dynamical systems from measurement data 非线性动力学的稀疏识别 (SINDy)简介 标签： 数模竞赛 社区小助手 2024-08-16 17:06:51 The resulting models are inherently interpretable and generalizable.

本文介绍了一种结合SINDY（非线性动力系统的稀疏辨识）与MPC（模型预测控制）的新型控制结构SINDY-MPC。 该结构在少量数据下，先通过SINDY识别系统动态方程，再利用MPC优化控制策略。

近年来，一种名为SINDy（Sparse Identification of Nonlinear Dynamics，非线性动力学的稀疏识别）的系统辨识方法受到了广泛关注，它能够从数据中自动发现动态系统的数学模型。 这篇notebook介绍一种简单而有效的从动力学数据中反推系统满足的动力学方程的方法Sparse Identification of Nonlinear Dynamics (SINDy)，配合降噪以及降维的手段，该方法可以准确地还原出包括流体力学系统在内的复杂动力学系统的动力学方程。