Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares

A Cortiella, KC Park, A Doostan - Computer Methods in Applied Mechanics …, 2021 - Elsevier
This work proposes an iterative sparse-regularized regression method to recover governing
equations of nonlinear dynamical systems from noisy state measurements. The method is …
被引用次数：73 相关文章

Sparse Identification of Nonlinear Dynamical Systems via Reweighted -regularized Least Squares

A Cortiella, KC Park, A Doostan - arXiv preprint arXiv:2005.13232, 2020 - arxiv.org
This work proposes an iterative sparse-regularized regression method to recover governing
equations of nonlinear dynamical systems from noisy state measurements. The method is …
[PDF] researchgate.net

[PDF][PDF] Sparse Identification of Nonlinear Dynamical Systems via Reweighted l1-regularized Least Squares

A Cortiellaa, KC Parka, A Doostana - arXiv preprint arXiv …, 2020 - researchgate.net
This work proposes an iterative sparse-regularized regression method to recover governing
equations of nonlinear dynamical systems from noisy state measurements. The method is …

[引用][C] Sparse identification of nonlinear dynamical systems via reweighted -regularized least squares

A Cortiella, KC Park, A Doostan - Computer Methods in Applied …, 2021 - cir.nii.ac.jp
Sparse identification of nonlinear dynamical systems via reweighted< mml: math xmlns:
mml=" http://www. w3. org/1998/Math/MathML" display=" inline" id=" d1e1573" altimg=" …

Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares

A Cortiella, KC Park, A Doostan - Computer Methods in …, 2021 - ui.adsabs.harvard.edu
This work proposes an iterative sparse-regularized regression method to recover governing
equations of nonlinear dynamical systems from noisy state measurements. The method is …
[PDF] researchgate.net

[PDF][PDF] Sparse Identification of Nonlinear Dynamical Systems via Reweighted l1-regularized Least Squares

A Cortiellaa, KC Parka, A Doostana - arXiv preprint arXiv …, 2020 - researchgate.net
This work proposes an iterative sparse-regularized regression method to recover governing
equations of nonlinear dynamical systems from noisy state measurements. The method is …

Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares

A Cortiella, KC Park, A Doostan - Computer Methods in …, 2021 - ui.adsabs.harvard.edu
This work proposes an iterative sparse-regularized regression method to recover governing
equations of nonlinear dynamical systems from noisy state measurements. The method is …