Sparse dynamical system identification with simultaneous structural parameters and initial condition estimation

B Wei - Chaos, Solitons & Fractals, 2022 - Elsevier
Abstract Sparse Identification of Nonlinear Dynamics (SINDy) has been shown to
successfully recover governing equations from data; however, this approach assumes the …

Sparse dynamical system identification with simultaneous structural parameters and initial condition estimation

B Wei - Chaos Solitons and Fractals, 2022 - ui.adsabs.harvard.edu
Abstract Sparse Identification of Nonlinear Dynamics (SINDy) has been shown to
successfully recover governing equations from data; however, this approach assumes the …

Sparse dynamical system identification with simultaneous structural parameters and initial condition estimation

B Wei - arXiv preprint arXiv:2204.10472, 2022 - arxiv.org
Sparse Identification of Nonlinear Dynamics (SINDy) has been shown to successfully
recover governing equations from data; however, this approach assumes the initial condition …

[PDF][PDF] Sparse dynamical system identification with simultaneous structural parameters and initial condition estimation

B Weia - Chaos, Solitons and Fractals, 2021 - researchgate.net
Abstract Sparse Identification of Nonlinear Dynamics (SINDy) has been shown to
successfully recover governing equations from data; however, this approach assumes the …

Sparse dynamical system identification with simultaneous structural parameters and initial condition estimation

B Wei - Chaos, Solitons & Fractals, 2022 - ideas.repec.org
Sparse Identification of Nonlinear Dynamics (SINDy) has been shown to successfully
recover governing equations from data; however, this approach assumes the initial condition …

Sparse dynamical system identification with simultaneous structural parameters and initial condition estimation

B Wei - Chaos, Solitons & Fractals, 2022 - econpapers.repec.org
Sparse Identification of Nonlinear Dynamics (SINDy) has been shown to successfully
recover governing equations from data; however, this approach assumes the initial condition …