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Evolutionary-Based Sparse Regression for the Experimental Identification of Duffing Oscillator

Autor: Goharoodi, Saeideh Khatiry, Dekemele, Kevin, Loccufier, Mia, Dupre, Luc, Crevecoeur, Guillaume

In this paper, an evolutionary-based sparse regression algorithm is proposed and applied onto experimental data collected from a Duffing oscillator setup and numerical simulation data. Our purpose is to identify the Coulomb friction terms as part of

Externí odkaz: http://arxiv.org/abs/2005.08631

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Sparse Identification of Nonlinear Duffing Oscillator From Measurement Data

Autor: Goharoodi, Saeideh Khatiry, Dekemele, Kevin, Dupre, Luc, Loccufier, Mia, Crevecoeur, Guillaume

In this paper we aim to apply an adaptation of the recently developed technique of sparse identification of nonlinear dynamical systems on a Duffing experimental setup with cubic feedback of the output. The Duffing oscillator described by nonlinear d

Externí odkaz: http://arxiv.org/abs/1805.03499

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Vinamax: a macrospin simulation tool for magnetic nanoparticles

Autor: Leliaert, Jonathan, Vansteenkiste, Arne, Coene, Annelies, Dupré, Luc, Van Waeyenberge, Bartel

We present Vinamax, a simulation tool for nanoparticles that aims at simulating magnetization dynamics on very large timescales. To this end, each in dividual nanoparticle is approximated by a macrospin. Vinamax numerically solves the Landau-Lifshitz

Externí odkaz: http://arxiv.org/abs/1408.0908

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