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Article: Design Automation of Cyber-Physical Systems: Challenges, Advances, and Opportunities

TitleDesign Automation of Cyber-Physical Systems: Challenges, Advances, and Opportunities
Authors
Keywordsautomotive engineering
Cyber-physical systems
design automation
energy management
formal specification
formal verification
human-robot interaction
machine learning
privacy
security
synthesis
Issue Date2017
Citation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2017, v. 36, n. 9, p. 1421-1434 How to Cite?
AbstractA cyber-physical system (CPS) is an integration of computation with physical processes whose behavior is defined by both computational and physical parts of the system. In this paper, we present a view of the challenges and opportunities for design automation of CPS. We identify a combination of characteristics that define the challenges unique to the design automation of CPS. We then present selected promising advances in depth, focusing on four foundational directions: combining model-based and data-driven design methods; design for human-in-the-loop systems; component-based design with contracts, and design for security and privacy. These directions are illustrated with examples from two application domains: smart energy systems and next-generation automotive systems.
Persistent Identifierhttp://hdl.handle.net/10722/336179
ISSN
2023 Impact Factor: 2.7
2023 SCImago Journal Rankings: 0.957
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSeshia, Sanjit A.-
dc.contributor.authorHu, Shiyan-
dc.contributor.authorLi, Wenchao-
dc.contributor.authorZhu, Qi-
dc.date.accessioned2024-01-15T08:24:13Z-
dc.date.available2024-01-15T08:24:13Z-
dc.date.issued2017-
dc.identifier.citationIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2017, v. 36, n. 9, p. 1421-1434-
dc.identifier.issn0278-0070-
dc.identifier.urihttp://hdl.handle.net/10722/336179-
dc.description.abstractA cyber-physical system (CPS) is an integration of computation with physical processes whose behavior is defined by both computational and physical parts of the system. In this paper, we present a view of the challenges and opportunities for design automation of CPS. We identify a combination of characteristics that define the challenges unique to the design automation of CPS. We then present selected promising advances in depth, focusing on four foundational directions: combining model-based and data-driven design methods; design for human-in-the-loop systems; component-based design with contracts, and design for security and privacy. These directions are illustrated with examples from two application domains: smart energy systems and next-generation automotive systems.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems-
dc.subjectautomotive engineering-
dc.subjectCyber-physical systems-
dc.subjectdesign automation-
dc.subjectenergy management-
dc.subjectformal specification-
dc.subjectformal verification-
dc.subjecthuman-robot interaction-
dc.subjectmachine learning-
dc.subjectprivacy-
dc.subjectsecurity-
dc.subjectsynthesis-
dc.titleDesign Automation of Cyber-Physical Systems: Challenges, Advances, and Opportunities-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TCAD.2016.2633961-
dc.identifier.scopuseid_2-s2.0-85027516559-
dc.identifier.volume36-
dc.identifier.issue9-
dc.identifier.spage1421-
dc.identifier.epage1434-
dc.identifier.isiWOS:000408149500001-

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