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
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;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467069
