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2017-01-26
Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems - de J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor (Author)
Details Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems
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| Le Titre Du Livre | Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems |
| Date de Lancement | 2017-01-26 |
| Traducteur | Iyman Margorie |
| Quantité de Pages | 136 Pages |
| La taille du fichier | 22.94 MB |
| Langue du Livre | Anglais & Français |
| Éditeur | Poetry Bookshop |
| ISBN-10 | 6449111231-ACS |
| Format de Données | AMZ ePub PDF FTX SDW |
| de (Auteur) | J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor |
| EAN | 385-8004204484-RYD |
| Nom de Fichier | Dynamic-Mode-Decomposition-Data-Driven-Modeling-of-Complex-Systems.pdf |
Télécharger Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems Livre PDF Gratuit
systems of large number of modes where classical modal methods must cope with resolution of huge linear system In the idea of reducing theses models a mode hybridization method proposed in 1 gives one equivalent mode when modes of the complex structure are known Another method 24 based on reducing size of dynamic model in the MFR gives a prediction of the vibration response of a
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This work studies the linear approximation of highdimensional dynamical systems using lowrank dynamic mode decomposition DMD Searching this approximation in a datadriven approach can be formalised as attempting to solve a lowrank constrained optimisation problem This problem is nonconvex and stateoftheart algorithms are all suboptimal
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high number of active degrees of freedom and of a complex dynamics leads to the need of strong modelling e orts for an e cient control design During this PhD ariousv directions have been followed in order to develop reducedorder models of ows in realistic situations and to use it for control First dynamic mode decomposition DMD and some of its arianvts have been exploited as reduced