Title:
Multi-Modal Control Using Adaptive Motion Description Languages

dc.contributor.author Mehta, Tejas R.
dc.contributor.author Egerstedt, Magnus B.
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.date.accessioned 2011-04-08T13:27:43Z
dc.date.available 2011-04-08T13:27:43Z
dc.date.issued 2007-11-04
dc.description Preprint submitted to Automatica. en_US
dc.description Digital Object Identifier: 10.1016/j.automatica.2007.11.024 |
dc.description.abstract In this paper, we address the problem of adaptively enriching motion description languages for multi-modal control by systematically enlarging the set of available modes. This problem is formulated as an optimal control problem, where new modes are designed by combining recurring mode string fragments into smooth, new "meta-modes" and variational arguments are employed to derive optimality conditions for this construction. en_US
dc.identifier.citation T. Mehta and M. Egerstedt. Multi-Modal Control Using Adaptive Motion Description Languages. Automatica, Vol. 44, No. 7, pp. 1912-1917, Jul. 2008. en_US
dc.identifier.issn 0005-1098
dc.identifier.uri http://hdl.handle.net/1853/38453
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Elsevier
dc.subject Hybrid systems en_US
dc.subject Optimal control en_US
dc.subject Motion description languages en_US
dc.title Multi-Modal Control Using Adaptive Motion Description Languages en_US
dc.type Text
dc.type.genre Pre-print
dspace.entity.type Publication
local.contributor.author Egerstedt, Magnus B.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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