DocumentCode :
2825649
Title :
Energy based discretization of a class of distributed parameters processes comparison with classical approach
Author :
Peng, H. ; Baaiu, A. ; Couenne, F. ; Le Gorrec, Y.
Author_Institution :
Univ. of Lyon, Lyon
fYear :
2007
fDate :
12-14 Dec. 2007
Firstpage :
3513
Lastpage :
3518
Abstract :
This paper deals with model reduction of infinite dimensional systems described by PDEs. It focuses on one dimensional systems as tubular reactors and adsorption processes derived from mass transport phenomena. The proposed method is based on energetic considerations. First, concepts of network modeling are used to stress the structure of the power transmission within the spatial domain and through the boundary. It is shown how to define the port variables such that the interconnection between dissipation and accumulation elements is power preserving. Based on this definition, the discretization method aims at preserving the structure associated with mass and power balances during the reduction. Finally the proposed methodology is compared with a finite difference method on an adsorption process. It is shown that in the centered approximation case, the proposed method avoids oscillations obtained from finite difference method.
Keywords :
distributed parameter systems; finite difference methods; linear systems; multidimensional systems; partial differential equations; reduced order systems; accumulation elements; adsorption process; dissipation elements; distributed parameter process; energy based discretization; finite difference method; infinite dimensional systems; mass transport; model reduction; network modeling; port variable; power preservation; power transmission; spatial domain; tubular reactors; Chemical elements; Equations; Finite difference methods; Gases; Inductors; Linear systems; Power system modeling; Reduced order systems; Stress; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2007.4434663
Filename :
4434663
Link To Document :
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