Open Access System for Information Sharing

Login Library

 

Article
Cited 16 time in webofscience Cited 15 time in scopus
Metadata Downloads

Absolutely robust controllers for chemical reaction networks SCIE SCOPUS

Title
Absolutely robust controllers for chemical reaction networks
Authors
Kim, JinsuEnciso, German
Date Issued
2020-05
Publisher
The Royal Society
Abstract
In this work, we design a type of controller that consists of adding a specific set of reactions to an existing mass-action chemical reaction network in order to control a target species. This set of reactions is effective for both deterministic and stochastic networks, in the latter case controlling the mean as well as the variance of the target species. We employ a type of network property called absolute concentration robustness (ACR). We provide applications to the control of a multisite phosphorylation model as well as a receptor–ligand signalling system. For this framework, we use the so-called deficiency zero theorem from chemical reaction network theory as well as multiscaling model reduction methods. We show that the target species has approximately Poisson distribution with the desired mean. We further show that ACR controllers can bring robust perfect adaptation to a target species and are complementary to a recently introduced antithetic feedback controller used for stochastic chemical reactions.
URI
https://oasis.postech.ac.kr/handle/2014.oak/110547
DOI
10.1098/rsif.2020.0031
ISSN
1742-5689
Article Type
Article
Citation
Journal of the Royal Society Interface, vol. 17, no. 166, page. 20200031, 2020-05
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Views & Downloads

Browse