Kim, J. (2022) Biological System Control. In: Dynamic System Modeling and Analysis with MATLAB and Python: For Control Engineers. Wiley , pp. 251-293. ISBN 9781119801627
Abstract
Constructing control algorithms using biological interactions is one of the interests in synthetic biology. Synthetic biology provides new biomolecular parts, functions, and systems. We show how to construct an approximate proportional integral (PI) controller for an enzyme–substrate interaction network using only elementary molecular interactions. The performance of the approximated PI controller is compared to that of the true PI controller. Another set of elementary molecular interactions calculates the error between the desired and current product, which is the input to the controller. We highlight the incapability of expressing negative numbers using only positive numbers expressed by molecular concentration, which indicates the lack of capability to adjust the current product overshooting the desired. An additional degradation interaction introduced reduces the current amount of the product molecules to overcome the limitation.
Metadata
Item Type: | Book Section |
---|---|
Authors/Creators: |
|
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 May 2024 09:46 |
Last Modified: | 08 May 2024 09:46 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/9781119801658.ch5 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197875 |