Modern Koopman Theory for Dynamical Systems-Reference-Cited by-同舟云学术

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Modern Koopman Theory for Dynamical Systems

Published:2022-05 Issue:2 Volume:64 Page:229-340
ISSN:0036-1445
Container-title:SIAM Review
language:en
Short-container-title:SIAM Rev.

Author:

Brunton Steven L.^ORCID,Budišić Marko^ORCID,Kaiser Eurika^ORCID,Kutz J. Nathan

Funder

Defense Advanced Research Projects Agency

Army Research Office

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics,Theoretical Computer Science

Reference379 articles.

1. The Inverse Scattering Transform-Fourier Analysis for Nonlinear Problems

2. Active Learning of Dynamics for Data-Driven Control Using Koopman Operators

3. An incremental approach to online dynamic mode decomposition for time-varying systems with applications to EEG data modeling

Cited by 161 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes;Computers & Chemical Engineering;2024-12

2. Deep neural data-driven Koopman fractional control of a worm robot;Expert Systems with Applications;2024-12

3. Another look at residual dynamic mode decomposition in the regime of fewer snapshots than dictionary size;Physica D: Nonlinear Phenomena;2024-12

4. EDMD for expanding circle maps and their complex perturbations;Applied and Computational Harmonic Analysis;2024-11

5. Deep Koopman Operator-based degradation modelling;Reliability Engineering & System Safety;2024-11

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