Non-linear model reduction for metabolic networks with multiple time scales

Ziomara P. Gerdtzen, Prodromos Daoutidis, Wei-Shou Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a method for obtaining non-stiff non-linear 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
Pages519-524
Number of pages6
Volume2005
DOIs
StatePublished - Dec 1 2005
Event20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 - Limassol, Cyprus
Duration: Jun 27 2005Jun 29 2005

Other

Other20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
Country/TerritoryCyprus
CityLimassol
Period6/27/056/29/05

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