Data-driven discovery of the governing equations of dynamical systems via moving horizon optimization

HIGHLIGHTS

• who: Fernando Lejarza from the The University TX, ‑1589, USA have published the paper: Data-driven discovery of the governing equations of dynamical systems via moving horizon optimization, in the Journal: Scientific Reports Scientific Reports
• what: The function f is unknown and is precisely what the authors attempt to infer from a given set of time-resolved measurement data. This property, together with the more intuitive selection of the thresholding tolerance ψ for the present work, results in discovering models that are generally sparser than those identified via SINDy methods, as can be noted from the . . .
  

   

  

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