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dc.contributor.authorManchester, Ian
dc.contributor.authorSlotine, Jean-Jacques E
dc.date.accessioned2017-05-25T16:13:15Z
dc.date.available2017-05-25T16:13:15Z
dc.date.issued2014-11
dc.identifier.isbn978-1-9221-0739-8
dc.identifier.urihttp://hdl.handle.net/1721.1/109342
dc.description.abstractControl contraction metrics (CCMs) are a new approach to nonlinear control design based on contraction theory. The resulting design problems are expressed as pointwise linear matrix inequalities and are and well-suited to solution via convex optimization. In this paper, we extend the theory on CCMs by showing that a pair of “dual” observer and controller problems can be solved using pointwise linear matrix inequalities, and that when a solution exists a separation principle holds. That is, a stabilizing output-feedback controller can be found. The procedure is demonstrated using a benchmark problem of nonlinear control: the Moore-Greitzer jet engine compressor model.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/AUCC.2014.7358692en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleOutput-feedback control of nonlinear systems using control contraction metrics and convex optimizationen_US
dc.typeArticleen_US
dc.identifier.citationManchester, Ian R., and Jean-Jacques E. Slotine. “Output-Feedback Control of Nonlinear Systems Using Control Contraction Metrics and Convex Optimization.” 2014 4th Australian Control Conference (AUCC) (November 2014).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorManchester, Ian
dc.contributor.mitauthorSlotine, Jean-Jacques E
dc.relation.journal2014 4th Australian Control Conference (AUCC)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsManchester, Ian R.; Slotine, Jean-Jacques E.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7161-7812
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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