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Type: Artigo de periódico
Title: Model reduction of discrete time systems through linear matrix inequalities
Author: Geromel, JC
Kawaoka, FRR
Egas, RG
Abstract: In this paper, model reduction of discrete time linear systems is revisited. The main objective is to define a convex programming problem expressed in terms of linear matrix inequalities which provides a good suboptimal solution to the model reduction problem. The quality of the proposed suboptimal solution is assessed through comparisons, performed via simulation, with the already classical balanced truncation method. The results lead to the conclusion that the proposed method performs equivalently when the H-2 norm of the reduction error is considered and significantly better when the H-infinity norm is considered instead.
Country: Inglaterra
Editor: Taylor & Francis Ltd
Rights: fechado
Identifier DOI: 10.1080/00207170412331291854
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

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