Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92484
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dc.contributorDepartment of Computingen_US
dc.creatorTan, Fen_US
dc.creatorLiu, Len_US
dc.creatorWinter, Sen_US
dc.creatorWang, Qen_US
dc.creatorSuri, Nen_US
dc.creatorBu, Len_US
dc.creatorPeng, Yen_US
dc.creatorLiu, Xen_US
dc.creatorPeng, Xen_US
dc.date.accessioned2022-04-07T06:32:32Z-
dc.date.available2022-04-07T06:32:32Z-
dc.identifier.issn2378-962Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/92484-
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinaryen_US
dc.rights© 2018 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Cyber-Physical Systems, https://doi.org/10.1145/3226029.en_US
dc.subjectCyber-physical systemsen_US
dc.subjectHybrid automataen_US
dc.subjectHybrid modelen_US
dc.subjectLyapunov stableen_US
dc.subjectTestingen_US
dc.titleCross-domain noise impact evaluation for black box two-level control CPSen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume3en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1145/3226029en_US
dcterms.abstractControl Cyber-Physical Systems (CPSs) constitute a major category of CPS. In control CPSs, in addition to the well-studied noises within the physical subsystem, we are interested in evaluating the impact of cross-domain noise: the noise that comes from the physical subsystem, propagates through the cyber subsystem, and goes back to the physical subsystem. Impact of cross-domain noise is hard to evaluate when the cyber subsystem is a black box, which cannot be explicitly modeled. To address this challenge, this article focuses on the two-level control CPS, a widely adopted control CPS architecture, and proposes an emulation based evaluation methodology framework. The framework uses hybrid model reachability to quantify the cross-domain noise impact, and exploits Lyapunov stability theories to reduce the evaluation benchmark size. We validated the effectiveness and efficiency of our proposed framework on a representative control CPS testbed. Particularly, 24.1% of evaluation effort is saved using the proposed benchmark shrinking technology.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationACM transactions on cyber-physical systems, Jan. 2019, v. 3, no. 1, 2en_US
dcterms.isPartOfACM transactions on cyber-physical systemsen_US
dcterms.issued2019-01-
dc.identifier.scopus2-s2.0-85075490010-
dc.identifier.eissn2378-9638en_US
dc.identifier.artn2en_US
dc.description.validate202204 bcfcen_US
dc.description.oaAuthor’s Originalen_US
dc.identifier.FolderNumberRGC-B1-175-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextPolyU, NSFC, DAADen_US
dc.description.pubStatusPublisheden_US
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