LAPSE:2021.0786
Published Article
LAPSE:2021.0786
Set Membership Estimation for Dynamic Flux Balance Models
Xin Shen, Hector Budman
October 21, 2021
A set membership estimator (SME) based on limited number of measurements is proposed for estimating metabolite concentrations using dynamic flux balance models (DFBMs). To deal with multiplicity of solutions of the DFBM, a weighted primal dual method is used to find solutions that best fit the data. Multiparametric nonlinear programming is applied to propagate uncertainty in initial concentrations along a batch/fed-batch operation. The proposed method has been applied to E. coli batch and fed-batch fermentation without noise.
Keywords
dynamic flux balance model, multiparametric programming, multiplicity, set membership estimation, variable structure system, weighted primal dual method
Subject
Suggested Citation
Shen X, Budman H. Set Membership Estimation for Dynamic Flux Balance Models. (2021). LAPSE:2021.0786
Author Affiliations
Shen X: University of Waterloo
Budman H: University of Waterloo
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Journal Name
CSChE Systems & Control Transactions
Volume
1
First Page
1
Last Page
3
Year
2021
Publication Date
2021-10-21
Version Comments
Original Submission
Other Meta
Proceedings of the Canadian Chemical Engineering Conference 2021, October 24-27, Montréal, Québec, Canada
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Oct 21, 2021
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CC BY-SA 4.0
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Oct 21, 2021
 
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