LAPSE:2021.0692
Published Article
LAPSE:2021.0692
Subspace Based Model Identification for an Industrial Bioreactor: Handling Infrequent Sampling Using Missing Data Algorithms
Nikesh Patel, Brandon Corbett, Johan Trygg, Chris McCready, Prashant Mhaskar
July 29, 2021
This manuscript addresses the problem of modeling an industrial (Sartorius) bioreactor using process data. In the context of the Sartorius Bioreactor, it is important to appropriately address the problem of dealing with a large number of variables, which are not always measured or are measured at different sampling rates, without taking recourse to simpler interpolation- or imputation-based approaches. To this end, a dynamic model for the Sartorius Bioreactor is developed via appropriately adapting a recently presented subspace model identification technique, which in turn uses nonlinear iterative partial least squares (NIPALS) algorithms to gracefully handle the missing data. The other key contribution is evaluating the ability of the identification approach to provide insight into the process by computing interpretable variables such as metabolite rates. The results demonstrate the ability of the proposed approach to model data from the Sartorius Bioreactor.
Keywords
data driven model identification, missing data, subspace identification
Suggested Citation
Patel N, Corbett B, Trygg J, McCready C, Mhaskar P. Subspace Based Model Identification for an Industrial Bioreactor: Handling Infrequent Sampling Using Missing Data Algorithms. (2021). LAPSE:2021.0692
Author Affiliations
Patel N: Department of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L7, Canada
Corbett B: Department of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L7, Canada; Sartorius Corporate Research, Oakville, ON L6M 2V9, Canada
Trygg J: Sartorius Corporate Research, 903 33 Umeå, Sweden; Computational Life Science Cluster, Department of Chemistry, Umeå University, 901 87 Umeå, Sweden
McCready C: Sartorius Corporate Research, Oakville, ON L6M 2V9, Canada
Mhaskar P: Department of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L7, Canada [ORCID]
Journal Name
Processes
Volume
8
Issue
12
Article Number
E1686
Year
2020
Publication Date
2020-12-21
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8121686, Publication Type: Journal Article
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LAPSE:2021.0692
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doi:10.3390/pr8121686
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Jul 29, 2021
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CC BY 4.0
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Jul 29, 2021
 
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https://psecommunity.org/LAPSE:2021.0692
 
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Calvin Tsay
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