CIFASIS 20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
capítulos de libros
Título:
Avoiding Oversizing in Plant-Wide Control Designs for Industrial Processes
Autor/es:
DAVID ZUMOFFEN; MARTA BASUALDO
Libro:
Computer Aided Chemical Engineering
Editorial:
Elsevier
Referencias:
Lugar: London; Año: 2012; p. 937 - 941
Resumen:
In this work the newly emerging ?minimum squared deviations? strategy is improved trying to avoid the plant-wide control oversizing. It is done by considering the problem as a double combinatorial. Hence, the method is extended to give the optimal number of manipulated and controlled variables which are searching simultaneously. The Tennessee Eastman process is used here as case study.
