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Título: | On systematic model reduction techniques for dynamic optimization and robust control of distributed process systems |
Autor: | Vilas Fernández, Carlos CSIC ORCID; García, Miriam R. CSIC ORCID ; Rodríguez Fernández, María CSIC ORCID; Balsa-Canto, Eva CSIC ORCID ; Banga, Julio R. CSIC ORCID | Palabras clave: | Distributed process systems Reduced order models Dynamic optimization Robust control |
Fecha de publicación: | 2004 | Editor: | Elsevier | Citación: | European Symposium on Computer-Aided Process Engineering-14, 37th European Symposium of the Working Party on Computer-Aided Process Engineering Lisbon, Portugal 16–19 May 2004: 841-846 (2004) | Serie: | Computer Aided Chemical Engineering 18 |
Resumen: | In 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. | Descripción: | 6 pages, 3 figures | Versión del editor: | http://dx.doi.org/10.1016/S1570-7946(04)80206-2 | URI: | http://hdl.handle.net/10261/51947 | DOI: | 10.1016/S1570-7946(04)80206-2 | ISBN: | 978-0-444-51694-7 | ISSN: | 1570-7946 |
Aparece en las colecciones: | (IIM) Artículos |
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