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dc.contributor.authorZhang, Qichunen
dc.date.accessioned2018-09-24T14:47:27Z
dc.date.available2018-09-24T14:47:27Z
dc.date.issued2018-09-20
dc.identifier.citationZhang, Q. (2018) Parametric Co-variance Assignment for a Class of Multivariable Stochastic Uncertain Systems: Output Feedback Stabilization Approach. Advances in Science, Technology and Engineering Systems Journal, 3 (5), pp. 45-51en
dc.identifier.urihttp://hdl.handle.net/2086/16621
dc.description.abstractThis paper presents a novel parametric co-variance assignment strategy for multi-variable stochastic uncertain systems. Based upon the explicit parametric design and reduced-order closed-form co-variance model, the variances and co-variances of the system outputs can be assigned artificially using output feedback while the effect of the system uncertainties can be minimized by optimizing the free parameters. In addition, the stability of the closed-loop system has been analyzed and an illustrative numerical example is given to demonstrate the effectiveness of the presented strategy. As a summary, the contributions of this paper include the reduced-order co-variance model, the co-variance error based performance criterion and the parametric control design with stability analysis.en
dc.language.isoenen
dc.publisherAdvances in Science, Technology and Engineering Systems Journal (ASTESJ)en
dc.subjectReduced-order closed-formen
dc.subjectco-variance modelen
dc.subjectParametric co-variance assignmenten
dc.subjectOutput feedback stabilizationen
dc.titleParametric Co-variance Assignment for a Class of Multivariable Stochastic Uncertain Systems: Output Feedback Stabilization Approachen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.25046/aj030507
dc.researchgroupInstitute of Engineering Sciences (IES)en
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC BYen
dc.date.acceptance2018-09-08en
dc.exception.reasonThe output was published as gold open accessen
dc.researchinstituteInstitute of Engineering Sciences (IES)en


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