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S21 Vibrações e Análise Modal |
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Title:
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AN HIGH PERFORMANCE COMPUTATIONAL APPROACH IN SUBSPACES METHODS FOR DATA MODELLING
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Summary :
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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
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Author :
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Barreto, Gilmar 0
Bordon, Maurício José
Bottura, Celso Pascoli
Tamariz, Annabell Del Real
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Paper View :
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