Data/hora: 06/06/2024 00:44:33

Provedor de dados: 	52	
País: 	Brazil	
Título: 	Non-linear multivariable predictive control of an alcoholic fermentation process using functional link networks	
Autores: 	Meleiro,Luiz Augusto da Cruz; Costa,Aline Carvalho da; Maciel Filho,Rubens.	
Data: 	2005-06-01	
Ano: 	2005	
Palavras-chave: 	Extractive alcoholic fermentation; Functional link neural networks; Non-linear predictive control.	
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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132005000400002	
Editor: 	Instituto de Tecnologia do Paraná - Tecpar	
Relação: 	10.1590/S1516-89132005000400002	
Formato: 	text/html	
Fonte: 	Brazilian Archives of Biology and Technology  v.48 n.spe 2005	
Fonte: 	info:eu-repo/semantics/openAccess