OpenAlex | A study on data-driven identification and representation of nonlinear dynamical systems with a physics-integrated deep learning approach: Koopman operators and nonlinear normal modes

A study on data-driven identification and representation of nonlinear dynamical systems with a physics-integrated deep learning approach: Koopman operators and nonlinear normal modes

Work

Year: 2023

Type: article

Source: Communications in Nonlinear Science and Numerical Simulation

Authors Abdolvahhab Rostamijavanani, Shanwu Li, Yongchao Yang

Institution Michigan Technological University

Cites: 51

Cited by: 4

Related to: 10

FWCI: 0.941

Citation percentile (by year/subfield): 71.99

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed