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Jan, 2024
稀疏非线性动力学在图书馆和系统不确定性存在的情况下的识别
Sparse identification of nonlinear dynamics in the presence of library and system uncertainty
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Andrew O'Brien
TL;DR
通过实际数据展示了增强SINDy算法在系统变量不确定性存在的情况下优于普通SINDy算法，并进一步展示了当两种不确定性同时存在时，SINDy可以进行增强以保持鲁棒性。
Abstract
The
sindy algorithm
has been successfully used to identify the
governing equations
of
dynamical systems
from time series data. However, SI
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