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Scheduling and control co-design under end-to-end response time constraints in cyber-physical systems

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dc.contributor.authorPark, Kyung joon-
dc.contributor.authorYoon, Man ki-
dc.contributor.authorKang, Kyungtae-
dc.contributor.authorLee, Chan gun-
dc.date.accessioned2021-06-23T12:03:23Z-
dc.date.available2021-06-23T12:03:23Z-
dc.date.issued2011-04-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39077-
dc.description.abstractIn this paper, we propose an optimization approach for robust control design with end-to-end response time constraints in a multi-resource cyber-physical systems (CPS). We introduce a rigorous performance metric for robust system design from the control theoretic viewpoint. Then, we investigate the impact of end-to-end response time analysis techniques on the control performance. We show that the traditional per-job response time analysis significantly degrades the control performance when real-time tasks visit a resource multiple times. We demonstrate that we can meaningfully improve the control performance by adopting the recently-developed per-resource response time analysis. Our simulation results verify the effectiveness of the proposed co-design framework. © 2011 IEEE.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleScheduling and control co-design under end-to-end response time constraints in cyber-physical systems-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/INFCOMW.2011.5928914-
dc.identifier.scopusid2-s2.0-79960600407-
dc.identifier.bibliographicCitation2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011, pp 762 - 767-
dc.citation.title2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011-
dc.citation.startPage762-
dc.citation.endPage767-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordPlusCo-designs-
dc.subject.keywordPlusControl performance-
dc.subject.keywordPlusCyber-physical systems-
dc.subject.keywordPlusEnd-to-end response time-
dc.subject.keywordPlusMulti-resource-
dc.subject.keywordPlusOptimization approach-
dc.subject.keywordPlusPerformance metrices-
dc.subject.keywordPlusReal-time tasks-
dc.subject.keywordPlusResponse-time analysis-
dc.subject.keywordPlusRobust control designs-
dc.subject.keywordPlusRobust system design-
dc.subject.keywordPlusSimulation result-
dc.subject.keywordPlusDesign-
dc.subject.keywordPlusEmbedded systems-
dc.subject.keywordPlusResponse time (computer systems)-
dc.subject.keywordPlusRobust control-
dc.subject.keywordPlusSystems analysis-
dc.subject.keywordPlusComputer control systems-
dc.subject.keywordAuthorControl performance-
dc.subject.keywordAuthorRobust system design-
dc.subject.keywordAuthorReal-time tasks-
dc.subject.keywordAuthorCyber-physical systems-
dc.subject.keywordAuthorEnd-to-end response time-
dc.subject.keywordAuthorPerformance metrices-
dc.subject.keywordAuthorRobust control designs-
dc.subject.keywordAuthorComputer control systems-
dc.subject.keywordAuthorSystems analysis-
dc.subject.keywordAuthorResponse time (computer systems)-
dc.subject.keywordAuthorOptimization approach-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/5928914-
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ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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