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Provedor de dados: |
BABT
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País: |
Brazil
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Título: |
Non-linear multivariable predictive control of an alcoholic fermentation process using functional link networks
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Autores: |
Meleiro,Luiz Augusto da Cruz
Costa,Aline Carvalho da
Maciel Filho,Rubens
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Data: |
2005-06-01
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Ano: |
2005
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Palavras-chave: |
Extractive alcoholic fermentation
Functional link neural networks
Non-linear predictive control
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Resumo: |
In this work a MIMO non-linear predictive controller was developed for an extractive alcoholic fermentation process. The internal model of the controller was represented by two MISO Functional Link Networks (FLNs), identified using simulated data generated from a deterministic mathematical model whose kinetic parameters were determined experimentally. The FLN structure presents as advantages fast training and guaranteed convergence, since the estimation of the weights is a linear optimization problem. Besides, the elimination of non-significant weights generates parsimonious models, which allows for fast execution in an MPC-based algorithm. The proposed algorithm showed good potential in identification and control of non-linear processes.
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Tipo: |
Info:eu-repo/semantics/article
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Idioma: |
Inglês
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Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132005000400002
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Editor: |
Instituto de Tecnologia do Paraná - Tecpar
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Relação: |
10.1590/S1516-89132005000400002
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Formato: |
text/html
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Fonte: |
Brazilian Archives of Biology and Technology v.48 n.spe 2005
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Direitos: |
info:eu-repo/semantics/openAccess
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