A Measure of Worst-Case HPerformance and of Largest Acceptable Uncertainty

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dc.contributor.authorFan, Michael K-H.en_US
dc.contributor.authorTits, A.L.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:48:53Z
dc.date.available2007-05-23T09:48:53Z
dc.date.issued1991en_US
dc.description.abstractThe structured singular value (SSV or ) is know to be an effective tool for assessing robust performance of linear time- invariant models subject to structured uncertainty. Yet all a single analysis provides is a bound ݠon the uncertainty under which stability as well as Hperformance level of k/ݠare guaranteed, where k is preselectable. In this paper, we introduce a related quantity, denoted by v which provides answers for the following questions: (i) given ݬ determine the smallest with the peoperty that, for any uncertainty bounded by ݬ an H performance level ofen_US
dc.format.extent667971 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5143
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1991-97en_US
dc.subjectcomputer aided designen_US
dc.subjectlinear systemsen_US
dc.subjectoptimizationen_US
dc.subjectrobust controlen_US
dc.subjectstabilityen_US
dc.subjectIntelligent Servomechanismsen_US
dc.titleA Measure of Worst-Case HPerformance and of Largest Acceptable Uncertaintyen_US
dc.typeTechnical Reporten_US

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