Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93915
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorHu, Yen_US
dc.creatorShi, Xen_US
dc.creatorXu, ZQen_US
dc.date.accessioned2022-08-03T01:24:12Z-
dc.date.available2022-08-03T01:24:12Z-
dc.identifier.issn1292-8119en_US
dc.identifier.urihttp://hdl.handle.net/10397/93915-
dc.language.isoenen_US
dc.publisherEDP Sciencesen_US
dc.rights© The authors. Published by EDP Sciences, SMAI 2022en_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Hu, Y., Shi, X., & Xu, Z. Q. (2022). Constrained stochastic LQ control on infinite time horizon with regime switching. ESAIM: Control, Optimisation and Calculus of Variations, 28, 5 is available at https://doi.org/10.1051/cocv/2021110en_US
dc.subjectStochastic LQ controlen_US
dc.subjectRegime switchingen_US
dc.subjectInfinite time horizonen_US
dc.subjectExtended stochastic Riccati equationen_US
dc.subjectNonnegative solutions.en_US
dc.titleConstrained stochastic LQ control on infinite time horizon with regime switchingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume28en_US
dc.identifier.doi10.1051/cocv/2021110en_US
dcterms.abstractThis paper is concerned with a stochastic linear-quadratic (LQ) optimal control problem on infinite time horizon, with regime switching, random coefficients, and cone control constraint. To tackle the problem, two new extended stochastic Riccati equations (ESREs) on infinite time horizon are introduced. The existence of the nonnegative solutions, in both standard and singular cases, is proved through a sequence of ESREs on finite time horizon. Based on this result and some approximation techniques, we obtain the optimal state feedback control and optimal value for the stochastic LQ problem explicitly. Finally, we apply these results to solve a lifetime portfolio selection problem of tracking a given wealth level with regime switching and portfolio constraint.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationESAIM. Control, optimisation and calculus of variations, 2022, v. 28, 5en_US
dcterms.isPartOfESAIM. Control, optimisation and calculus of variationsen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85122609394-
dc.identifier.eissn1262-3377en_US
dc.identifier.artn5en_US
dc.description.validate202208 bcfcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberAMA-0057, a2099-
dc.identifier.SubFormID46591-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNSFCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS54195638-
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