Nonlinear system identification using radial basis functions

Focussing on applications to fluid flow phenomena, we are interested in developing dynamical system models that are based on the discrete multivariate time series information only. A method based on radial basis functions and linear multi‐step methods is used to construct continuous nonlinear models...

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Veröffentlicht in:	International journal for numerical methods in fluids 2010-05, Vol.63 (2), p.121-162
Hauptverfasser:	Mokhasi, Paritosh, Rempfer, Dietmar
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Computational fluid dynamics Computational methods in fluid dynamics Dynamical systems Exact sciences and technology Fluid dynamics Fluid flow Fluids Fundamental areas of phenomenology (including applications) Mathematical models Navier-Stokes equations nonlinear dynamical systems Nonlinear dynamics Physics proper orthogonal decomposition Radial basis function radial basis functions time series analysis time series prediction turbulence
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