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dc.contributor.authorDel Vecchio, Domitilla
dc.contributor.authorDy, Aaron James
dc.contributor.authorQian, Yili
dc.date.accessioned2018-11-16T19:44:24Z
dc.date.available2018-11-16T19:44:24Z
dc.date.issued2016-07
dc.date.submitted2016-05
dc.identifier.issn1742-5689
dc.identifier.issn1742-5662
dc.identifier.urihttp://hdl.handle.net/1721.1/119159
dc.description.abstractThe past several years have witnessed an increased presence of control theoretic concepts in synthetic biology. This review presents an organized summary of how these control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in living cells. In particular, we describe success stories that demonstrate how simple or more elaborate control design methods can be used to make the behaviour of synthetic genetic circuits within a single cell or across a cell population more reliable, predictable and robust to perturbations. The description especially highlights technical challenges that uniquely arise from the need to implement control designs within a new hardware setting, along with implemented or proposed solutions. Some engineering solutions employing complex feedback control schemes are also described, which, however, still require a deeper theoretical analysis of stability, performance and robustness properties. Overall, this paper should help synthetic biologists become familiar with feedback control concepts as they can be used in their application area. At the same time, it should provide some domain knowledge to control theorists who wish to enter the rising and exciting field of synthetic biology.en_US
dc.description.sponsorshipUnited States. Air Force. Office of Scientific Research (grant no. FA9550-14-1- 0060)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (grant no. N000141310074)en_US
dc.description.sponsorshipNational Science Foundation (U.S.). Graduate Research Fellowship Programen_US
dc.publisherRoyal Society Publishingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1098/RSIF.2016.0380en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT Web Domainen_US
dc.titleControl theory meets synthetic biologyen_US
dc.typeArticleen_US
dc.identifier.citationDel Vecchio, Domitilla, Aaron J. Dy, and Yili Qian. “Control Theory Meets Synthetic Biology.” Journal of The Royal Society Interface 13, no. 120 (July 2016): 20160380.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Centeren_US
dc.contributor.mitauthorDel Vecchio, Domitilla
dc.contributor.mitauthorDy, Aaron James
dc.contributor.mitauthorQian, Yili
dc.relation.journalJournal of The Royal Society Interfaceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-11-09T18:18:46Z
dspace.orderedauthorsDel Vecchio, Domitilla; Dy, Aaron J.; Qian, Yilien_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6472-8576
dc.identifier.orcidhttps://orcid.org/0000-0003-0319-5416
dc.identifier.orcidhttps://orcid.org/0000-0002-1097-0401
mit.licenseOPEN_ACCESS_POLICYen_US


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