Population Balance Model-based Dynamic Multiobjective Optimization of Yeast Cell Manufacturing
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1-s2.0-S240589632401214X-main.pdf
Description
Published version
Size
1.21 MB
Format
Adobe PDF
Checksum (MD5)
96a76872944dda8259620b624ae25e86
Author(s)
Ganko, Krystian
Berliner, Marc D
Rhyu, Jinwook
Wu, Liang
Braatz, Richard D
Leyffer, Sven
Date Issued
2024
Journal
IFAC-PapersOnLine
Publisher
Elsevier BV
Citation
Ganko, Krystian, Berliner, Marc D, Rhyu, Jinwook, Wu, Liang, Braatz, Richard D et al. 2024. "Population Balance Model-based Dynamic Multiobjective Optimization of Yeast Cell Manufacturing." IFAC-PapersOnLine, 58 (14).
Version
Final published version
Abstract
Biological systems play a key role in many advanced manufacturing processes, of which many have interesting nonlinear dynamics. We investigate a continuous yeast cell manufacturing process that produces sustained oscillations in outputs under nominal conditions. Using a population balance model to perform dynamic optimization with multiple objectives and observability constraints, we quantify tradeoffs on the Pareto surface for varying the extent of process oscillations that the decision-maker deems tolerable (or desirable). Numerical optimal control design for oscillatory distributed parameter systems is discussed within the context of both dynamic optimization and on-line nonlinear model predictive control strategies.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.ifacol.2024.08.445
