Parameter identification for piecewise deterministic markov processes: A case study on a biochemical network
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Date
2006Type
- Conference Paper
ETH Bibliography
yes
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Abstract
The first part of the paper focuses on the use of Piecewise Deterministic Markov Processes (PDMP) for the modeling of biochemical networks. As a case study, the production of the peptide antibiotic B.Subtilis is considered. The second part of the paper is devoted to the problem of identifying unkown parameters of the model equations, based on experimental data. For the identification task we propose the use of Genetic Algorithms. An example demonstrates the feasibility of our aproach. Copyright © 2006 IFAC Show more
Publication status
publishedExternal links
Book title
Analysis and Design of Hybrid Systems 2006Journal / series
IPV-IFAC Proceedings VolumePages / Article No.
Publisher
ElsevierEvent
Subject
Stochastic hybrid models; Piecewise deterministic Markov process; Subtilin production; Genetic algorithms; Biochemical networksOrganisational unit
03751 - Lygeros, John / Lygeros, John
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ETH Bibliography
yes
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