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dc.contributor.authorGattami, Ather Said
dc.date.accessioned2012-06-01T15:39:35Z
dc.date.available2012-06-01T15:39:35Z
dc.date.issued2010-01
dc.date.submitted2008-10
dc.identifier.issn0018-9286
dc.identifier.issn1558-2523
dc.identifier.otherINSPEC Accession Number: 11055098
dc.identifier.urihttp://hdl.handle.net/1721.1/70982
dc.description.abstractWe consider the problem of stochastic finite- and infinite-horizon linear quadratic control under power constraints. The calculations of the optimal control law can be done off-line as in the classical linear quadratic Gaussian control theory using dynamic programming, which turns out to be a special case of the new theory developed in this technical note. A numerical example is solved using the new methods.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/tac.2009.2033736en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleGeneralized Linear Quadratic Controlen_US
dc.typeArticleen_US
dc.identifier.citationGattami, A. “Generalized Linear Quadratic Control.” IEEE Transactions on Automatic Control 55.1 (2010): 131–136. Web. © 2010 IEEE.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.approverGattami, Ather Said
dc.contributor.mitauthorGattami, Ather Said
dc.relation.journalIEEE Transactions on Automatic Controlen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGattami, A.en
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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