English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/51947
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

On systematic model reduction techniques for dynamic optimization and robust control of distributed process systems

AutorVilas Fernández, Carlos ; García, Miriam R. ; Rodríguez Fernández, María; Balsa-Canto, Eva ; Banga, Julio R.
Palabras claveDistributed process systems
Reduced order models
Dynamic optimization
Robust control
Fecha de publicación2004
CitaciónComputer Aided Chemical Engineering 18: 841-846 (2004)
ResumenIn this contribution we present an overview of some recent works carried out in our group to develop systematic and efficient methods for model reduction and its application to simulation, dynamic optimization and robust control of complex distributed process systems. The numerical projection methods we developed exploit the underlying finite element structure of the numerical PDE system to efficiently evaluate and to integrate the spatial differential terms, and thus to systematically project the original PDE set into a low dimensional subspace. This results into a reduced order description which is able to capture the relevant dynamics of the original system. Details on computational aspects of the methodology as well as applications in the context of dynamic optimization and robust control will be discussed on a number of representative case studies involving nonlinear diffusion-reaction and fluid dynamic systems.
Descripción6 páginas, 3 figuras
Versión del editorhttp://dx.doi.org/10.1016/S1570-7946(04)80206-2
Aparece en las colecciones: (IIM) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
On_systematic_model.pdf386,8 kBAdobe PDFVista previa
Mostrar el registro completo

NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.