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Type: Artigo de evento
Title: Parallel And Distributed Computational Data Modelling Via Verhaegen & Dewilde's Subspace Method
Author: Bottura Celso P.
Barreto Gilmar
Bordon Mauricio Jose
Tamariz Annabell D.R.
Abstract: Computational data modelling and state-space realization theory for linear discrete time systems are closely related. Verhaegen & Dewilde's identification algorithm is an efficient subspace data modelling method. For increasing its computational performance, in this work we propose a parallelization structure for such an algorithm as well as we present some results for an experiment made on a benchmark we developed.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Date Issue: 2000
Appears in Collections:Unicamp - Artigos e Outros Documentos

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