S21  Vibrações e Análise Modal
 
 Titulo:
AN HIGH PERFORMANCE COMPUTATIONAL APPROACH IN SUBSPACES METHODS FOR DATA MODELLING
 
Resumo :
IDENTIFICATION OF MULTIPLE INPUT MULTIPLE OUTPUT LINEAR TIME INVARIANT DYNAMICAL SYSTEM FROM INPUT-OUTPUT DATA SEQUENCES IS A CENTRAL PROBLEM IN SIGNAL PROCESSING AND IN CONTROL SYSTEMS ANALYSIS AND DESIGN. ROUGHLY SPEAKING, THIS PROBLEM IS EQUIVALENT TO FIND A REALIZATION FOR A DYNAMICAL SYSTEM IN ORDER TO REPRESENT INPUT OUTPUT DATA SEQUENCES. IN THIS WAY A REALIZATION IS A CHOICE OF A QUADRUPLE OF MATRICES THAT CAN REPRESENT INPUT OUTPUT DATA WITHIN AN ACCEPTABLE ERROR. FURTHER, THE FORMULATION PRESENTED IN THIS WORK LEADS TO A NICE APPROACH FOR ENGINEERING APPLICATIONS. IN THIS WORK, WE PRESENT A NEW METHODOLOGY USING PARALELL AND DISTRIBUTED COMPUTATION FOR PROCESSING VERHAEGEN & DEWILDE S ALGORITHM FOR STATE SPACE DATA MODELLING. KEYWORDS: SUBSPACE METHOD, STATE-SPACE, SYSTEM IDENTIFICATION, REALIZATION, HIGH PERFORMANCE COMPUTATION  
 
Autores :
Barreto, Gilmar 0
Bordon, Maurício José
Bottura, Celso Pascoli
Tamariz, Annabell Del Real
 
 
Trabalho Completo :

 

COBEM99 | Comissão  Organizadora | Palestras | Sessões Técnicas | Autor | Simpósios e Sessões Especiais | Revisores
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