Low-rank approximate solutions to large-scale ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
URL permanente :
Titre :
Low-rank approximate solutions to large-scale differential matrix Riccati equations
Auteur(s) :
Guldoğan, Y. [Auteur]
Yildiz Technical University [YTU]
Hached, Mustapha [Auteur]
Université de Lille
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Jbilou, Khalide [Auteur]
Laboratoire de Mathématiques Pures et Appliquées Joseph Liouville [LMPA]
Kurulay, M. [Auteur]
Yildiz Technical University [YTU]
Yildiz Technical University [YTU]
Hached, Mustapha [Auteur]
Université de Lille
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Jbilou, Khalide [Auteur]
Laboratoire de Mathématiques Pures et Appliquées Joseph Liouville [LMPA]
Kurulay, M. [Auteur]
Yildiz Technical University [YTU]
Titre de la revue :
Applicationes Mathematicae
Pagination :
233-254
Éditeur :
Polish Academy of Sciences
Date de publication :
2018
ISSN :
1233-7234
Discipline(s) HAL :
Mathématiques [math]
Résumé en anglais : [en]
We consider large-scale continuous-time differential matrix Riccati equations. The two main approaches proposed in the literature are based on a splitting scheme or on Rosenbrock / Backward Differentiation Formula (BDF) ...
Lire la suite >We consider large-scale continuous-time differential matrix Riccati equations. The two main approaches proposed in the literature are based on a splitting scheme or on Rosenbrock / Backward Differentiation Formula (BDF) methods. The approach we propose is based on the reduction of the problem dimension prior to integration. We project the initial problem onto an extended block Krylov subspace and obtain a low-dimensional differential matrix Riccati equation. The latter matrix differential problem is then solved by the BDF method and the solution obtained is used to reconstruct an approximate solution of the original problem. This process is repeated with increasing dimension of the projection subspace until achieving a chosen accuracy. We give some theoretical results and a simple expression of the residual allowing the implementation of a stop test in order to limit the dimension of the projection space. Some numerical experiments are reported.Lire moins >
Lire la suite >We consider large-scale continuous-time differential matrix Riccati equations. The two main approaches proposed in the literature are based on a splitting scheme or on Rosenbrock / Backward Differentiation Formula (BDF) methods. The approach we propose is based on the reduction of the problem dimension prior to integration. We project the initial problem onto an extended block Krylov subspace and obtain a low-dimensional differential matrix Riccati equation. The latter matrix differential problem is then solved by the BDF method and the solution obtained is used to reconstruct an approximate solution of the original problem. This process is repeated with increasing dimension of the projection subspace until achieving a chosen accuracy. We give some theoretical results and a simple expression of the residual allowing the implementation of a stop test in order to limit the dimension of the projection space. Some numerical experiments are reported.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
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Date de dépôt :
2025-01-24T14:17:42Z
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