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dc.contributor.authorJiang, Ping*
dc.contributor.authorUnbehauen, R.*
dc.date.accessioned2009-09-23T08:43:52Z
dc.date.available2009-09-23T08:43:52Z
dc.date.issued2002
dc.identifier.citationJiang P and Unbehauen R (2002) Robot visual servoing with iterative learning control. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans. 32(2): 281-287.en
dc.identifier.urihttp://hdl.handle.net/10454/3495
dc.descriptionYesen
dc.description.abstractThis paper presents an iterative learning scheme for vision guided robot trajectory tracking. At first, a stability criterion for designing iterative learning controller is proposed. It can be used for a system with initial resetting error. By using the criterion, one can convert the design problem into finding a positive definite discrete matrix kernel and a more general form of learning control can be obtained. Then, a three-dimensional (3-D) trajectory tracking system with a single static camera to realize robot movement imitation is presented based on this criterion.en
dc.language.isoenen
dc.publisherIEEEen
dc.rights© 2002 IEEE. Reprinted from IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bradford's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.en
dc.subjectIterative learning controlen
dc.subjectVision guided robot trajectory trackingen
dc.subjectAdaptive controlen
dc.subjectVisual servoingen
dc.titleRobot visual servoing with iterative learning controlen
dc.status.refereedYesen
dc.typeArticleen
dc.type.versionPublished versionen
dc.identifier.doihttps://doi.org/10.1109/TSMCA.2002.1021116
refterms.dateFOA2018-07-18T14:16:32Z


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