Nonlinear System Identification: A Wavelet based State Dependent Parameter Modeling Approach - Couverture souple

Truong, Nguyen-Vu

 
9783639219746: Nonlinear System Identification: A Wavelet based State Dependent Parameter Modeling Approach
Couverture souple
ISBN 10 : 3639219740 ISBN 13 : 9783639219746
Editeur : VDM Verlag Dr. Müller, 2009

Synopsis

The work documented in this book presents a new, efficient and systematic approach to the identification of nonlinear dynamic systems using Wavelet based State Dependent Parameter (SDP) models, from structure determination to parameter estimation. In this approach, the system's nonlinearities are analyzed and effectively represented by a SDP model structure in the form of wavelets. This provides a computationally efficient tool to open up the `black-box', offering valuable insights into the system's dynamics. Here, 1- dimensional (1-D) approach is first developed based on a conventional SDP model structure which relies on a single state variable dependency. It is then extended into a multi-dimensional approach in order to solve the identification problem of systems with significant multi-variable dependence nonlinear dynamics. The research as well investigates the aspects of noise, stability and other engineering application of the proposed approaches, including: nonlinear identification in the presence of noise, BIBO stability analysis and application studies where the developed approaches have been used in various engineering applications.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The work documented in this book presents a new, efficient and systematic approach to the identification of nonlinear dynamic systems using Wavelet based State Dependent Parameter (SDP) models, from structure determination to parameter estimation. In this approach, the system's nonlinearities are analyzed and effectively represented by a SDP model structure in the form of wavelets. This provides a computationally efficient tool to open up the `black-box', offering valuable insights into the system's dynamics. Here, 1- dimensional (1-D) approach is first developed based on a conventional SDP model structure which relies on a single state variable dependency. It is then extended into a multi-dimensional approach in order to solve the identification problem of systems with significant multi-variable dependence nonlinear dynamics. The research as well investigates the aspects of noise, stability and other engineering application of the proposed approaches, including: nonlinear identification in the presence of noise, BIBO stability analysis and application studies where the developed approaches have been used in various engineering applications.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2009
Langue
anglais
ISBN 10 
3639219740
ISBN 13 
9783639219746
Reliure
Broché
Nombre de pages
212
Coordonnées du fabricant
non disponible
Personne responsable
non disponible