Show simple item record

dc.contributor.authorHamadeh, Abdullah
dc.contributor.authorSontag, Eduardo D
dc.contributor.authorDel Vecchio, Domitilla
dc.date.accessioned2018-11-19T18:09:34Z
dc.date.available2018-11-19T18:09:34Z
dc.date.issued2015-12
dc.identifier.isbn978-1-4799-7886-1
dc.identifier.isbn978-1-4799-7884-7
dc.identifier.isbn978-1-4799-7885-4
dc.identifier.urihttp://hdl.handle.net/1721.1/119197
dc.description.abstractThis paper adopts a contraction approach to study exogenous input tracking in dynamical systems under high gain proportional output feedback. We give conditions under which contraction of a nonlinear system's tracking error implies input to output stability from the input signal's time derivatives to the tracking error. This result is then used to demonstrate that the negative feedback connection of plants composed of two strictly positive real subsystems in cascade can follow external inputs with tracking errors that can be made arbitrarily small by applying a sufficiently large feedback gain. We utilize this result to design a biomolecular feedback regulation scheme for a synthetic genetic sensor model, making it robust to variations in the availability of a cellular resource required for protein production.en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Award # N000141310074)en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CDC.2015.7403435en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther univ. web domainen_US
dc.titleA contraction approach to input tracking via high gain feedbacken_US
dc.typeArticleen_US
dc.identifier.citationHamadeh, Abdullah, Eduardo Sontag, and Domitilla Del Vecchio. “A Contraction Approach to Input Tracking via High Gain Feedback.” 2015 54th IEEE Conference on Decision and Control (CDC) (December 2015), Osaka, Japan, Institute of Electrical and Electronics Engineers (IEEE), 2015.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorHamadeh, Abdullah
dc.contributor.mitauthorSontag, Eduardo D
dc.contributor.mitauthorDel Vecchio, Domitilla
dc.relation.journal2015 54th IEEE Conference on Decision and Control (CDC)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2018-11-09T17:08:21Z
dspace.orderedauthorsHamadeh, Abdullah; Sontag, Eduardo; Del Vecchio, Domitillaen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6302-1819
dc.identifier.orcidhttps://orcid.org/0000-0001-8020-5783
dc.identifier.orcidhttps://orcid.org/0000-0001-6472-8576
mit.licenseOPEN_ACCESS_POLICYen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record