Robust Dynamic Mode Decomposition

This paper develops a robust dynamic mode decomposition (RDMD) method endowed with statistical and numerical robustness. Statistical robustness ensures estimation efficiency at the Gaussian and non-Gaussian probability distributions, including heavy-tailed distributions. The proposed RDMD is statist...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.65473-65484
Hauptverfasser:	Hossein Abolmasoumi, Amir, Netto, Marcos, Mili, Lamine
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cost function Decomposition Dynamic mode decomposition Dynamical systems Government Licenses Mathematical models Maximum likelihood estimators Numerical models Numerical stability outlier detection Outliers (statistics) Probability distribution robust estimation robust regression robust statistics Robustness Robustness (mathematics) Sensitivity Statistical analysis Time measurement
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