DocumentCode
3548817
Title
Non-Linear Model Reduction for Metabolic Networks with Multiple Time-Scales
Author
Gerdtzen, Ziomara P. ; Daoutidis, Prodromos ; Hu, Wei-Shou
Author_Institution
Dept. of Chem. Eng. & Mater. Sci., Minnesota Univ., Minneapolis, MN
fYear
2005
fDate
27-29 June 2005
Firstpage
519
Lastpage
524
Abstract
We present a method for obtaining non-stiff nonlinear reduced-order models for metabolic networks, which exhibit dynamics in multiple time scales. The method is based on the successive application of singular perturbation arguments, starting from the fastest time scale and proceeding to the slowest one. The method is successfully applied to a detailed model of central carbon metabolism in human erythrocytes
Keywords
control system analysis; nonlinear control systems; reduced order systems; central carbon metabolism; human erythrocytes; metabolic networks; multiple time scales; nonstiff nonlinear reduced-order models; singular perturbation arguments; Biochemical analysis; Biochemistry; Cells (biology); Chemical analysis; Chemical engineering; Humans; Materials science and technology; Mathematical model; Process control; Reduced order systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location
Limassol
ISSN
2158-9860
Print_ISBN
0-7803-8936-0
Type
conf
DOI
10.1109/.2005.1467069
Filename
1467069
Link To Document