An improved sparse identification of nonlinear dynamics with Akaike information criterion and group sparsity.

Dong, Xin; Bai, Yu-Long; Lu, Yani; Fan, Manhong

Dong, Xin; Bai, Yu-Long; Lu, Yani; Fan, Manhong.

Afiliación

Dong X; College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, 730070 Gansu China.
Bai YL; College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, 730070 Gansu China.
Lu Y; College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, 730070 Gansu China.
Fan M; College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, 730070 Gansu China.

Nonlinear Dyn ; 111(2): 1485-1510, 2023.

Article en En | MEDLINE | ID: mdl-36246669

Palabras clave

Akaike information criterion; Group sparsity; Identification of noise distribution; Nonlinear dynamical systems; Sparse identification

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nonlinear Dyn Año: 2023 Tipo del documento: Article

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