Evaluation of Optimization Algorithms and Noise Robustness of Sparsity-Promoting Dynamic Mode Decomposition

Evaluation of Optimization Algorithms and Noise Robustness of Sparsity-Promoting Dynamic Mode Decomposition

In the present study, we organize the existing sparsity-promoting dynamic mode decomposition (DMDsp) in terms of noise robustness, propose faster optimization algorithm for DMDsp, and evaluate its characteristics. Two kinds of DMDsp, namely system-based DMDsp (sDMDsp) and observation-based DMDsp (oD...

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Bibliographic Details
Main Authors: Yuto Iwasaki, Taku Nonomura, Kumi Nakai, Takayuki Nagata, Yuji Saito, Keisuke Asai
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Data analysis
fluid dynamics
modal analysis
optimization method
system dynamics
Online Access:https://ieeexplore.ieee.org/document/9837072/

Internet

https://ieeexplore.ieee.org/document/9837072/

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