Cluster-based network modeling—From snapshots to complex dynamical systems-Reference-Cited by-同舟云学术

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Cluster-based network modeling—From snapshots to complex dynamical systems

Published:2021-06-18 Issue:25 Volume:7 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Fernex Daniel¹^ORCID,Noack Bernd R.²³^ORCID,Semaan Richard¹^ORCID

Affiliation:

1. Institut für Strömungsmechanik, Technische Universität Braunschweig, Hermann-Blenk-Str. 37, 38108 Braunschweig, Germany.

2. Center for Turbulence Control, Harbin Institute of Technology, Shenzhen 518058, People’s Republic of China.

3. Hermann-Föttinger-Institut, Technische Universität Berlin, Müller-Breslau-Str. 8, 10623 Berlin, Germany.

Abstract

A generally applicable robust data-driven network modeling strategy offers rapid means to predict and control complex systems.

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference49 articles.

1. P. Holmes J. L. Lumley G. Berkooz C. W. Rowley Turbulence Coherent Structures Dynamical Systems and Symmetry (Cambridge Univ. Press 2012).

2. A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

3. On dynamic mode decomposition: Theory and applications

4. Equation-free mechanistic ecosystem forecasting using empirical dynamic modeling

5. Machine Learning for Fluid Mechanics

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