Results 11 to 20 of about 275,780 (304)
Dynamic Mode Decomposition for Compressive System Identification [PDF]
AIAA Journal, 2020 Dynamic mode decomposition has emerged as a leading technique to identify spatiotemporal coherent structures from high-dimensional data, benefiting from a strong connection to nonlinear dynamical systems via the Koopman operator.
Bai, Zhe +4 more
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Nonlinear model order reduction via Dynamic Mode Decomposition [PDF]
, 2016 We propose a new technique for obtaining reduced order models for nonlinear dynamical systems. Specifically, we advocate the use of the recently developed Dynamic Mode Decomposition (DMD), an equation-free method, to approximate the nonlinear term.
Alla, Alessandro, Kutz, J. Nathan
core +5 more sources
Bayesian Dynamic Mode Decomposition [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Dynamic mode decomposition (DMD) is a data-driven method for calculating a modal representation of a nonlinear dynamical system, and it has been utilized in various fields of science and engineering. In this paper, we propose Bayesian DMD, which provides a principled way to transfer the advantages of the Bayesian formulation into DMD.
Yoshinobu Kawahara +3 more
openaire +3 more sources
Singular Dynamic Mode Decomposition
SIAM Journal on Applied Dynamical Systems, 2023 11 pages. YouTube playlist supporting this manuscript can be found here: https://youtube.com/playlist?list=PLldiDnQu2phsZdFP3nHoGnk_Aq ...
Joel A. Rosenfeld +1 more
openaire +4 more sources
Evaluating the accuracy of the dynamic mode decomposition
Journal of Computational Dynamics, 2020 21 pages, 10 ...
Eric A. Deem +4 more
openaire +6 more sources
Dynamic mode decomposition for financial trading strategies [PDF]
Quantitative Finance, 2016 We demonstrate the application of an algorithmic trading strategy based upon the recently developed dynamic mode decomposition (DMD) on portfolios of financial data. The method is capable of characterizing complex dynamical systems, in this case financial market dynamics, in an equation-free manner by decomposing the state of the system into low-rank ...
Jordan Mann, J. Nathan Kutz
openaire +4 more sources
Reduced-order modeling using Dynamic Mode Decomposition and Least Angle Regression [PDF]
, 2020 Dynamic Mode Decomposition (DMD) yields a linear, approximate model of a system's dynamics that is built from data. We seek to reduce the order of this model by identifying a reduced set of modes that best fit the output.
Graff, John +3 more
core +2 more sources
Moving Target Detection Using Dynamic Mode Decomposition [PDF]
Sensors, 2018 It is challenging to detect a moving target in the reverberant environment for a long time. In recent years, a kind of method based on low-rank and sparse theory was developed to study this problem.
Jingwei Yin +3 more
doaj +2 more sources
Sparsity-promoting dynamic mode decomposition [PDF]
Physics of Fluids, 2013 International audienceDynamic mode decomposition (DMD) represents an effective means for capturing the essential features of numerically or experimentally generated flow fields.
Hassan Y. +5 more
core +7 more sources
Personalized prediction of gait freezing using dynamic mode decomposition [PDF]
Scientific ReportsFreezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson’s disease. The ability to predict the onset of FoG episodes early on allows for timely intervention, which is essential for improving the life quality of patients.
Zhiwen Fu, Congping Lin, Yiwei Zhang
doaj +2 more sources