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...
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Universidad Católica del Norte, Departamento de Matemáticas
2015
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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 |
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Scielo Chile |
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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 |