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dc.contributor.authorSadraddini, Sadraen_US
dc.contributor.authorBelta, Calinen_US
dc.coverage.spatialBoston, MAen_US
dc.date.accessioned2018-06-29T13:27:20Z
dc.date.available2018-06-29T13:27:20Z
dc.date.issued2016-01-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000388376101118&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationSadra Sadraddini, Calin Belta. 2016. "A Provably Correct MPC Approach to Safety Control of Urban Traffic Networks." 2016 AMERICAN CONTROL CONFERENCE (ACC), pp. 1679 - 1684 (6).
dc.identifier.issn0743-1619
dc.identifier.urihttps://hdl.handle.net/2144/29728
dc.description.abstractModel predictive control (MPC) is a popular strategy for urban traffic management that is able to incorporate physical and user defined constraints. However, the current MPC methods rely on finite horizon predictions that are unable to guarantee desirable behaviors over long periods of time. In this paper we design an MPC strategy that is guaranteed to keep the evolution of a network in a desirable yet arbitrary -safe- set, while optimizing a finite horizon cost function. Our approach relies on finding a robust controlled invariant set inside the safe set that provides an appropriate terminal constraint for the MPC optimization problem. An illustrative example is included.en_US
dc.description.sponsorshipThis work was partially supported by the NSF under grants CPS-1446151 and CMMI-1400167. (CPS-1446151 - NSF; CMMI-1400167 - NSF)en_US
dc.format.extentp. 1679-1684en_US
dc.languageEnglish
dc.publisherIEEEen_US
dc.relation.ispartof2016 AMERICAN CONTROL CONFERENCE (ACC)
dc.subjectScience & technologyen_US
dc.subjectAutomation & control systemsen_US
dc.subjectLogicen_US
dc.subjectCostingen_US
dc.subjectOptimizationen_US
dc.subjectPredictive controlen_US
dc.subjectRoad safetyen_US
dc.subjectRoad traffic controlen_US
dc.subjectRobust controlen_US
dc.titleA provably correct MPC approach to safety control of urban traffic networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACC.2016.7525158
pubs.elements-sourceweb-of-scienceen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Engineeringen_US
pubs.organisational-groupBoston University, College of Engineering, Department of Mechanical Engineeringen_US
pubs.publication-statusPublisheden_US


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