Economic Nonlinear Model Predictive Control of Continuous Viral Bioreactors
Name
1-s2.0-S2405896324014162-main.pdf
Description
Published version
Size
1.22 MB
Format
Adobe PDF
Checksum (MD5)
210409ca3dcfb93829bb390bd47b7254
Author(s)
Inguva, Pavan K
Paoli, Luc T
Braatz, Richard D
Date Issued
2024
Journal
IFAC-PapersOnLine
Publisher
Elsevier BV
Citation
Inguva, Pavan K, Paoli, Luc T and Braatz, Richard D. 2024. "Economic Nonlinear Model Predictive Control of Continuous Viral Bioreactors." IFAC-PapersOnLine, 58 (18).
Version
Final published version
Abstract
Viral particle systems are integral parts of modern biotechnology, finding use in vaccines, drug delivery platforms, and recombinant protein production. Continuous manufacturing of these systems can offer improved manufacturability and quality control. However, viral systems often have complex kinetics which can introduce undesirable process dynamics and lower product titers in continuous operation. This article explores the use of economic nonlinear dynamic optimization and model predictive control to achieve multiple process objectives such as maximizing productivity and/or purity. Economic nonlinear model predictive control is also demonstrated to robustly control the bioreactor under plant-model mismatch in different scenarios.
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.2024.09.037
