Data-driven discovery of emergent behaviors in collective dynamics
نویسندگان
چکیده
منابع مشابه
Data driven discovery of nonlinear dynamics
We demonstrate that sparse regression and compressive sensing techniques are capable of accurately determining a set of functions governing a nonlinear dynamical system. We analyze a technique introduced by Brunton, Proctor, and Kutz, 2016 [1] that builds a sparse representation of a dynamical system by computing sequential least squares fittings of the data to identify the governing equations....
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ژورنال
عنوان ژورنال: Physica D: Nonlinear Phenomena
سال: 2020
ISSN: 0167-2789
DOI: 10.1016/j.physd.2020.132542