A novel procedure is developed for the identification of linear discrete models of dynamical systems from noisy data. Of particular interest is the application of the methodology to time-varying systems. The procedure is based on a representation of the governing differential equations with respect to a wavelet basis, and the formulation of an inverse algebraic problem in the associated subspace. The e!ect of noisy data is considered and numerical simulations demonstrating the applicability of the method to single- and multi-degree-of-freedom dynamical systems are presented.

A Wavelet-based approach for the identification of linear time-varying dynamical systems / R., Ghanem; Romeo, Francesco. - In: JOURNAL OF SOUND AND VIBRATION. - ISSN 0022-460X. - 234:(2000), pp. 555-576.

A Wavelet-based approach for the identification of linear time-varying dynamical systems

ROMEO, Francesco
2000

Abstract

A novel procedure is developed for the identification of linear discrete models of dynamical systems from noisy data. Of particular interest is the application of the methodology to time-varying systems. The procedure is based on a representation of the governing differential equations with respect to a wavelet basis, and the formulation of an inverse algebraic problem in the associated subspace. The e!ect of noisy data is considered and numerical simulations demonstrating the applicability of the method to single- and multi-degree-of-freedom dynamical systems are presented.
2000
01 Pubblicazione su rivista::01a Articolo in rivista
A Wavelet-based approach for the identification of linear time-varying dynamical systems / R., Ghanem; Romeo, Francesco. - In: JOURNAL OF SOUND AND VIBRATION. - ISSN 0022-460X. - 234:(2000), pp. 555-576.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/123279
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