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dc.contributor.authorPark, Shinkyu
dc.contributor.authorKayacan, Erkan
dc.contributor.authorRatti, Carlo
dc.contributor.authorRus, Daniela L
dc.date.accessioned2021-11-01T17:56:00Z
dc.date.available2021-11-01T17:56:00Z
dc.date.issued2019-08
dc.date.submitted2019-05
dc.identifier.urihttps://hdl.handle.net/1721.1/137013
dc.description.abstract© 2019 IEEE. We propose a feedback control system for a reconfigurable multi-vessel platform. The platform consists of N propeller-driven vessels each of which is capable of latching to another vessel to form a rigid body of connected vessels. The main technical challenges are that i) depending on configurations of the platform the dynamic model would be different, and ii) the number of control variables in control system design increases as does the total number of vessels in the platform. To address these challenges, we develop a coordinated robust control scheme. Through experiments we assess trajectory tracking and disturbance attenuation performance of the control scheme in various configurations of the platform. Experiment results yield that average position and orientation tracking error are approximately 0.09m and 3°, and the maximum tracking error-to-disturbance ratio is 1.12.en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICRA.2019.8794075en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleCoordinated Control of a Reconfigurable Multi-Vessel Platform: Robust Control Approachen_US
dc.typeArticleen_US
dc.identifier.citationPark, Shinkyu, Kayacan, Erkan, Ratti, Carlo and Rus, Daniela L. 2019. "Coordinated Control of a Reconfigurable Multi-Vessel Platform: Robust Control Approach." IEEE International Conference on Robotics and Automation, 2019-May.
dc.contributor.departmentSenseable City Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.relation.journalIEEE International Conference on Robotics and Automationen_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.updated2021-04-15T15:02:15Z
dspace.orderedauthorsPark, S; Kayacan, E; Ratti, C; Rus, Den_US
dspace.date.submission2021-04-15T15:02:23Z
mit.journal.volume2019-Mayen_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


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