An extended block Arnoldi algorithm for large-scale solutions of the continuous-time algebraic Riccati equation
We present a new iterative method for the computation of approximate solutions to large-scale continuous-time algebraic Riccati equations. The proposed method is a projection method onto an extended block Krylov subspace, which can be seen as a sum of two block Krylov subspaces in A and [A.sup.-1]....
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Published in | Electronic transactions on numerical analysis Vol. 33; p. 53 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Institute of Computational Mathematics
01.08.2008
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Subjects | |
Online Access | Get full text |
ISSN | 1068-9613 1097-4067 |
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Abstract | We present a new iterative method for the computation of approximate solutions to large-scale continuous-time algebraic Riccati equations. The proposed method is a projection method onto an extended block Krylov subspace, which can be seen as a sum of two block Krylov subspaces in A and [A.sup.-1]. We give some theoretical results and present numerical experiments for large and sparse problems. These numerical tests show the efficiency of the proposed scheme as compared to the block Arnoldi and Newton-ADI methods. Key words. Block Arnoldi; Extended block Krylov; Low rank; Riccati equations. AMS subject classifications. 65F10, 65F30 |
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AbstractList | We present a new iterative method for the computation of approximate solutions to large-scale continuous-time algebraic Riccati equations. The proposed method is a projection method onto an extended block Krylov subspace, which can be seen as a sum of two block Krylov subspaces in A and [A.sup.-1]. We give some theoretical results and present numerical experiments for large and sparse problems. These numerical tests show the efficiency of the proposed scheme as compared to the block Arnoldi and Newton-ADI methods. We present a new iterative method for the computation of approximate solutions to large-scale continuous-time algebraic Riccati equations. The proposed method is a projection method onto an extended block Krylov subspace, which can be seen as a sum of two block Krylov subspaces in A and [A.sup.-1]. We give some theoretical results and present numerical experiments for large and sparse problems. These numerical tests show the efficiency of the proposed scheme as compared to the block Arnoldi and Newton-ADI methods. Key words. Block Arnoldi; Extended block Krylov; Low rank; Riccati equations. AMS subject classifications. 65F10, 65F30 |
Audience | Academic |
Author | Jbilou, K Heyouni, M |
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Title | An extended block Arnoldi algorithm for large-scale solutions of the continuous-time algebraic Riccati equation |
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