Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/71022
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorCui, Len_US
dc.creatorDong, Zen_US
dc.creatorZhang, Gen_US
dc.creatorLee, HWJen_US
dc.date.accessioned2017-12-28T06:18:47Z-
dc.date.available2017-12-28T06:18:47Z-
dc.identifier.issn0020-7179en_US
dc.identifier.urihttp://hdl.handle.net/10397/71022-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2016 Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in International journal of control on 01 Dec 2016 (published online), available at: http://www.tandfonline.com/10.1080/00207179.2016.1260162en_US
dc.subjectCoherent feedback controlen_US
dc.subjectGenetic algorithmen_US
dc.subjectH∞ controlen_US
dc.subjectLQG controlen_US
dc.subjectRank-constrained LMI methoden_US
dc.titleMixed LQG and H∞ coherent feedback control for linear quantum systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2575en_US
dc.identifier.epage2588en_US
dc.identifier.volume90en_US
dc.identifier.issue12en_US
dc.identifier.doi10.1080/00207179.2016.1260162en_US
dcterms.abstractThe purpose of this paper is to study the mixed linear quadratic Gaussian (LQG) and H∞ optimal control problem for linear quantum stochastic systems, where the controller itself is also a quantum system, often referred to as ‘coherent feedback controller’. A lower bound of the LQG control is proved. Then two different methods, rank-constrained linear matrix inequality method and genetic algorithm are for controller design. A passive system (cavity) and a non-passive one (degenerate parametric amplifier) demonstrate the effectiveness of these two proposed algorithms.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of control, 2017, v. 90, no. 12, p. 2575-2588en_US
dcterms.isPartOfInternational journal of controlen_US
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85000643974-
dc.identifier.ros2016004435-
dc.identifier.rosgroupid2017001983-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validatebcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAMA-0444, a0850-n12-
dc.identifier.SubFormID1743-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6701075-
dc.description.oaCategoryGreen (AAM)en_US
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