“Pure” or “Numerical” Jordan Form?

A new approach is proposed for modelling and monitoring bioprocesses dynamics characterized by different metabolic states.Bioprocesses cannot be described by a single model.For this reason, three phases characterised by the bioprocess are definedperiodic, exponential, and stationary.During each phase, the process passes through one or more physiological states.Each physiological state is described by a sub-model with a different structure and parameter values.The transition of the process from one physiological state to another is carried out by switching the sub-models based on a predefined key parameter.Monitoring is performed by a cascade of software sensors using the sub-models and real-time measurement of the concentrations of the main process variables.The proposed approach was tested by modelling and monitoring the Escherichia coli phytase production process.

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Publication Details

Journal
International Journal Bioautomation
Published
2024-12-01
DOI
https://doi.org/10.7546/ijba.2024.28.4.001039
Primary Topic
Mathematics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

“Pure” or “Numerical” Jordan Form?

Ivan Popchev
International Journal Bioautomation
Mathematics and Applications
article

“Pure” or “Numerical” Jordan Form?

Ivan Popchev
article en

Abstract

A new approach is proposed for modelling and monitoring bioprocesses dynamics characterized by different metabolic states.Bioprocesses cannot be described by a single model.For this reason, three phases characterised by the bioprocess are definedperiodic, exponential, and stationary.During each phase, the process passes through one or more physiological states.Each physiological state is described by a sub-model with a different structure and parameter values.The transition of the process from one physiological state to another is carried out by switching the sub-models based on a predefined key parameter.Monitoring is performed by a cascade of software sensors using the sub-models and real-time measurement of the concentrations of the main process variables.The proposed approach was tested by modelling and monitoring the Escherichia coli phytase production process.

International Journal BioautomationVol. 28(4)
Bulgarian National Science Fund
Openalex Percentile: Top 64%
Mathematics and Applications
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