State analysis of time-varying singular nonlinear systems using Legendre wavelets

In this paper, the Legendre wavelet method for State analysis of time-varying singular nonlinear systems is studied. The properties of Legendre wavelets and its operational matrices are first presented and then are used to convert into algebraic equations. Also the convergence and error analysis for...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Raja Balachandar,S., Venkatesh,S. G., Ayyaswamy,S. K., Balachandran,S.
Lenguaje:English
Publicado: Universidad Católica del Norte, Departamento de Matemáticas 2015
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172015000100006
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0716-09172015000100006
record_format dspace
spelling oai:scielo:S0716-091720150001000062015-07-13State analysis of time-varying singular nonlinear systems using Legendre waveletsRaja Balachandar,S.Venkatesh,S. G.Ayyaswamy,S. K.Balachandran,S. Legendre wavelets Time-varying Singular nonlinear systems Convergence analysis Operational matrix In this paper, the Legendre wavelet method for State analysis of time-varying singular nonlinear systems is studied. The properties of Legendre wavelets and its operational matrices are first presented and then are used to convert into algebraic equations. Also the convergence and error analysis for the proposed technique have been discussed. Illustrative examples have been given to demonstrate the validity and applicability of the technique. The efficiency of the proposed method has been compared with Haar wavelet method and it is observed that the Legendre wavelet method is more convenient than the Haar wavelet method in terms of applicability, efficiency, accuracy, error, and computational effort.info:eu-repo/semantics/openAccessUniversidad Católica del Norte, Departamento de MatemáticasProyecciones (Antofagasta) v.34 n.1 20152015-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172015000100006en10.4067/S0716-09172015000100006
institution Scielo Chile
collection Scielo Chile
language English
topic Legendre wavelets
Time-varying
Singular nonlinear systems
Convergence analysis
Operational matrix
spellingShingle Legendre wavelets
Time-varying
Singular nonlinear systems
Convergence analysis
Operational matrix
Raja Balachandar,S.
Venkatesh,S. G.
Ayyaswamy,S. K.
Balachandran,S.
State analysis of time-varying singular nonlinear systems using Legendre wavelets
description In this paper, the Legendre wavelet method for State analysis of time-varying singular nonlinear systems is studied. The properties of Legendre wavelets and its operational matrices are first presented and then are used to convert into algebraic equations. Also the convergence and error analysis for the proposed technique have been discussed. Illustrative examples have been given to demonstrate the validity and applicability of the technique. The efficiency of the proposed method has been compared with Haar wavelet method and it is observed that the Legendre wavelet method is more convenient than the Haar wavelet method in terms of applicability, efficiency, accuracy, error, and computational effort.
author Raja Balachandar,S.
Venkatesh,S. G.
Ayyaswamy,S. K.
Balachandran,S.
author_facet Raja Balachandar,S.
Venkatesh,S. G.
Ayyaswamy,S. K.
Balachandran,S.
author_sort Raja Balachandar,S.
title State analysis of time-varying singular nonlinear systems using Legendre wavelets
title_short State analysis of time-varying singular nonlinear systems using Legendre wavelets
title_full State analysis of time-varying singular nonlinear systems using Legendre wavelets
title_fullStr State analysis of time-varying singular nonlinear systems using Legendre wavelets
title_full_unstemmed State analysis of time-varying singular nonlinear systems using Legendre wavelets
title_sort state analysis of time-varying singular nonlinear systems using legendre wavelets
publisher Universidad Católica del Norte, Departamento de Matemáticas
publishDate 2015
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172015000100006
work_keys_str_mv AT rajabalachandars stateanalysisoftimevaryingsingularnonlinearsystemsusinglegendrewavelets
AT venkateshsg stateanalysisoftimevaryingsingularnonlinearsystemsusinglegendrewavelets
AT ayyaswamysk stateanalysisoftimevaryingsingularnonlinearsystemsusinglegendrewavelets
AT balachandrans stateanalysisoftimevaryingsingularnonlinearsystemsusinglegendrewavelets
_version_ 1718439803716894720