Data-driven Modelling of Ship Maneuvers in Waves via Dynamic Mode Decomposition
暂无分享,去创建一个
Emilio F. Campana | Frederick Stern | Matteo Diez | Andea Serani | M. Diez | E. Campana | F. Stern | A. Serani
[1] Daniel Dylewsky,et al. Dynamic mode decomposition for forecasting and analysis of power grid load data , 2020, ArXiv.
[2] Steven L. Brunton,et al. Multiresolution Dynamic Mode Decomposition , 2015, SIAM J. Appl. Dyn. Syst..
[3] Steven L. Brunton,et al. Dynamic mode decomposition - data-driven modeling of complex systems , 2016 .
[4] Steven L. Brunton,et al. Dynamic Mode Decomposition with Control , 2014, SIAM J. Appl. Dyn. Syst..
[5] I. Mezić,et al. Spectral analysis of nonlinear flows , 2009, Journal of Fluid Mechanics.
[6] J. Nathan Kutz,et al. Dynamic mode decomposition for financial trading strategies , 2015, 1508.04487.
[7] F. Stern,et al. Experimental Data for KCS Added Resistance and ONRT Free Running Course Keeping/Speed Loss in Head and Oblique Waves , 2020 .
[8] P. Schmid,et al. Dynamic mode decomposition of numerical and experimental data , 2008, Journal of Fluid Mechanics.
[9] Bingni W. Brunton,et al. Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition , 2014, Journal of Neuroscience Methods.
[10] Steven L. Brunton,et al. Time-Delay Observables for Koopman: Theory and Applications , 2018, SIAM J. Appl. Dyn. Syst..
[11] K. P. Soman,et al. A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model , 2018, Applied Energy.
[12] Giulio Dubbioso,et al. Modal analysis of the wake past a marine propeller , 2018, Journal of Fluid Mechanics.
[13] Naoya Umeda,et al. Improved Maneuvering-Based Mathematical Model for Free-Running Ship Motions in Following Waves Using High-Fidelity CFD Results and System-Identification Technique , 2019, Contemporary Ideas on Ship Stability.
[14] Enio Vasconcelos Filho,et al. A Dynamic Mode Decomposition Approach With Hankel Blocks to Forecast Multi-Channel Temporal Series , 2019, IEEE Control Systems Letters.
[15] Andrea Serani,et al. Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State , 2021, The 9th Conference on Computational Methods in Marine Engineering (Marine 2021).
[16] Naoya Umeda,et al. Estimating maneuvering coefficients using system identification methods with experimental, system-based, and CFD free-running trial data , 2012 .
[17] Juntao Huang,et al. Semi‐coupled air/water immersed boundary approach for curvilinear dynamic overset grids with application to ship hydrodynamics , 2008 .