Foo, M, Kim, J orcid.org/0000-0002-3456-6614, Sawlekar, R et al. (1 more author) (2017) Design of an embedded inverse-feedforward biomolecular tracking controller for enzymatic reaction processes. Computers and Chemical Engineering, 99. pp. 145-157. ISSN 0098-1354
Abstract
Feedback control is widely used in chemical engineering to improve the performance and robustness of chemical processes. Feedback controllers require a ‘subtractor’ that is able to compute the error between the process output and the reference signal. In the case of embedded biomolecular control circuits, subtractors designed using standard chemical reaction network theory can only realise one-sided subtraction, rendering standard controller design approaches inadequate. Here, we show how a biomolecular controller that allows tracking of required changes in the outputs of enzymatic reaction processes can be designed and implemented within the framework of chemical reaction network theory. The controller architecture employs an inversion-based feedforward controller that compensates for the limitations of the one-sided subtractor that generates the error signals for a feedback controller. The proposed approach requires significantly fewer chemical reactions to implement than alternative designs, and should have wide applicability throughout the fields of synthetic biology and biological engineering.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY). |
Keywords: | process control; enzymatic reaction process; chemical reaction network theory; synthetic biology; biological engineering |
Dates: |
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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: | 17 Jan 2017 11:38 |
Last Modified: | 05 Oct 2017 15:38 |
Published Version: | https://doi.org/10.1016/j.compchemeng.2017.01.027 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.compchemeng.2017.01.027 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:110628 |