Publication:
Hybrid systems: modeling, simulation and optimization

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dc.contributor.coauthorKarasözen, Bülent
dc.contributor.coauthorBiegler, Lorenz T.
dc.contributor.coauthorMcAvoy, Thomas J.
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorTürkay, Metin
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:42:51Z
dc.date.issued2009
dc.description.abstractInternational Workshop on Hybrid Systems Modeling, Simulation and Optimization was held Istanbul, Turkey, from May 14 16, 2008 is presented. Hybrid systems are complex systems that exhibit discrete event as well as continuous time dynamics governed by differential and difference equation. Many systems in engineering and science can be considered as hybrid systems, including continuous systems with phased operation, and controlled by discrete logic and switches. A fast regularization technique using sliding modes allows the regularization of system behavior to prevent numerical chattering, which is fast oscillations between operating modes. A study describes the design of the reference governor for constrained piecewise affine systems by using polyhedral invariant sets, multiparametric programming and dynamic programming techniques.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.doi10.1016/j.jprocont.2009.08.005
dc.identifier.eissn1873-2771
dc.identifier.embargoN/A
dc.identifier.endpage1217
dc.identifier.issn0959-1524
dc.identifier.issue8
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-70349485738
dc.identifier.startpage1217
dc.identifier.urihttps://doi.org/10.1016/j.jprocont.2009.08.005
dc.identifier.urihttps://hdl.handle.net/20.500.14288/13382
dc.identifier.volume19
dc.identifier.wos000271352600001
dc.keywordsHybrid systems
dc.keywordsHybrid dynamic systems
dc.keywordsModeling and simulation
dc.keywordsOptimization
dc.keywordsDifferential-algebraic equations
dc.keywordsMixed integer optimal control
dc.keywordsNonlinear programming
dc.keywordsComplementarity constraints
dc.keywordsPiecewise affine systems
dc.keywordsPiecewise linear systems
dc.keywordsReference governor
dc.keywordsModel predictive control
dc.keywordsDiscrete event systems
dc.keywordsDifferential variational inequalities
dc.keywordsAngiogenesis modeling
dc.keywordsProcess control
dc.keywordsSliding modes
dc.keywordsFilippov systems
dc.language.isoeng
dc.publisherElsevier
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofJournal of Process Control
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectHybrid systems
dc.subjectProcess control
dc.subjectControl engineering
dc.subjectChemical engineering
dc.titleHybrid systems: modeling, simulation and optimization
dc.typeOther
dspace.entity.typePublication
local.contributor.kuauthorTürkay, Metin
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