dc.contributor.author | Qian, Yili | |
dc.contributor.author | Grunberg, Theodore Wu | |
dc.contributor.author | Del Vecchio, Domitilla | |
dc.date.accessioned | 2018-11-16T21:27:07Z | |
dc.date.available | 2018-11-16T21:27:07Z | |
dc.date.issued | 2018-06 | |
dc.identifier.isbn | 978-1-5386-5428-6 | |
dc.identifier.isbn | 978-1-5386-5427-9 | |
dc.identifier.isbn | 978-1-5386-5429-3 | |
dc.identifier.issn | 2378-5861 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/119164 | |
dc.description.abstract | Recent trends in synthetic biology to move from prototypes to applications have triggered higher expectations on the robustness, predictability and responsiveness of biomolecular circuits. Therefore, a systematic approach to designing biomolecular controllers for regulating gene expression is needed. Although a number of integral control motifs (ICMs) have been proposed for set-point regulation, their performance in vivo is challenged by integration leakiness due to dilution, which cannot be neglected in growing cells. In this paper, we study a class of quasi-integral controllers designed based on existing ICMs and multiple time-scale separations. We demonstrate that by engineering all controller reactions to be much faster than dilution, set-point regulation can be achieved even in the presence of a leaky integrator. Furthermore, by engineering controller parameters for a second layer of time-scale separation, arbitrarily small tracking error can be achieved under certain technical conditions. We demonstrate a realization of our design principle through a small RNA feedback circuit. | en_US |
dc.description.sponsorship | United States. Air Force. Office of Scientific Research (grant FA9550-14-1-0060) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.). Civil, Mechanical and Manufacturing Innovation (award # 1727189) | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.23919/ACC.2018.8431762 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | MIT Web Domain | en_US |
dc.title | Multi-time-scale biomolecular ‘quasi-integral’ controllers for set-point regulation and trajectory tracking | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Qian, Yili, Theodore W. Grunberg, and Domitilla Del Vecchio. “Multi-Time-Scale Biomolecular ‘quasi-Integral’ Controllers for Set-Point Regulation and Trajectory Tracking.” 2018 Annual American Control Conference (ACC) (June 2018), ilwaukee, WI, USA, Institute of Electrical and Electronics Engineers (IEEE), 2018. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.mitauthor | Qian, Yili | |
dc.contributor.mitauthor | Grunberg, Theodore Wu | |
dc.contributor.mitauthor | Del Vecchio, Domitilla | |
dc.relation.journal | American Control Conference (ACC), 2018 | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2018-11-09T15:55:47Z | |
dspace.orderedauthors | Qian, Yili; Grunberg, Theodore W.; Del Vecchio, Domitilla | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-1097-0401 | |
dc.identifier.orcid | https://orcid.org/0000-0001-6472-8576 | |
mit.license | OPEN_ACCESS_POLICY | en_US |