Conference paper Open Access

In-silico feedback control of a MIMO synthetic Toggle Switch via Pulse-Width Modulation

Guarino, Agostino; Fiore, Davide; di Bernardo, Mario


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  <identifier identifierType="URL">https://zenodo.org/record/4836153</identifier>
  <creators>
    <creator>
      <creatorName>Guarino, Agostino</creatorName>
      <givenName>Agostino</givenName>
      <familyName>Guarino</familyName>
      <affiliation>Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Fiore, Davide</creatorName>
      <givenName>Davide</givenName>
      <familyName>Fiore</familyName>
      <affiliation>Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>di Bernardo, Mario</creatorName>
      <givenName>Mario</givenName>
      <familyName>di Bernardo</familyName>
      <affiliation>Department of Engineering Mathematics, University of Bristol, Bristol, U.K.</affiliation>
    </creator>
  </creators>
  <titles>
    <title>In-silico feedback control of a MIMO synthetic Toggle Switch via Pulse-Width Modulation</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-08-15</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4836153</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.23919/ECC.2019.8795642</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/cosy-bio</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The genetic toggle switch is a MIMO control system that can be controlled by varying the concentrations of two inducer molecules, aTc and IPTG, to achieve a desired level of expression of the two genes it comprises. It has been shown in Lugagne et al., Nature Communication (2017) that this can be accomplished through an open-loop external control strategy where the two inputs are selected as mutually exclusive periodic pulse waves of appropriate amplitude and duty-cycle. In this paper, we use a recently derived average model of the genetic toggle switch subject to these inputs to synthesize new feedback control approaches that adjust the inputs duty-cycle in real-time via two different possible strategies, a model-based hybrid PI-PWM approach and a so-called Zero-Average dynamics (ZAD) controller. The controllers are validated in-silico via both deterministic and stochastic simulations (SSA) illustrating the advantages and limitations of each strategy.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">This is a preprint of the conference paper published in "2019 18th European Control Conference (ECC)"</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/766840/">766840</awardNumber>
      <awardTitle>Control Engineering of Biological Systems for Reliable Synthetic Biology Applications</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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