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dc.contributor.authorTsukamoto, Hiroyasu
dc.contributor.authorChung, Soon-Jo
dc.contributor.authorSlotine, Jean-Jacques
dc.contributor.authorFan, Chuchu
dc.date.accessioned2022-09-09T17:26:16Z
dc.date.available2022-09-09T17:26:16Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/145339
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/CDC45484.2021.9682859en_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.titleA Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stabilityen_US
dc.typeArticleen_US
dc.identifier.citationTsukamoto, Hiroyasu, Chung, Soon-Jo, Slotine, Jean-Jacques and Fan, Chuchu. 2021. "A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability." 2021 60th IEEE Conference on Decision and Control (CDC).
dc.contributor.departmentMassachusetts Institute of Technology. Nonlinear Systems Laboratory
dc.relation.journal2021 60th 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.updated2022-09-09T17:17:35Z
dspace.orderedauthorsTsukamoto, H; Chung, S-J; Slotine, J-J; Fan, Cen_US
dspace.date.submission2022-09-09T17:17:37Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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