dc.contributor.authorLin, Liyong
dc.contributor.authorShehabinia, Ahmad Reza
dc.contributor.authorSu, Rong.
dc.contributor.authorBrandin, Bertil
dc.date.accessioned2016-01-04T07:10:02Z
dc.date.available2016-01-04T07:10:02Z
dc.date.issued2014-12
dc.identifier.citationLin, L., Shehabinia, A. R., Su, R., & Brandin, B. (2014). Automaton-based timed supervisory control for operational planning and scheduling under multiple job deadlines. 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), 5943-5948.en_US
dc.identifier.urihttp://hdl.handle.net/10220/39542
dc.description.abstractIn this paper we model an operational planning and scheduling problem under multiple job deadlines in a timeweighted automaton framework. We first present a method to determine whether all given job specifications and deadlines can be met by computing a supremal controllable job satisfaction sublanguage. When this supremal sublanguage is not empty, we compute one of its controllable sublanguages that ensures the minimum total job earliness by adding proper delays. When this supremal sublangauge is empty, we will determine the minimal sets of job deadlines that need to be relaxed.en_US
dc.description.sponsorshipMOE (Min. of Education, S’pore)en_US
dc.format.extent6 p.en_US
dc.language.isoenen_US
dc.rights© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/110.1109/CDC.2014.7040319].en_US
dc.subjectTime-weighted automatonen_US
dc.subjectControllability
dc.subjectScheduling
dc.subjectEarliness
dc.subjectTimed supervisory control
dc.titleAutomaton-based timed supervisory control for operational planning and scheduling under multiple job deadlinesen_US
dc.typeConference Paper
dc.contributor.conference2014 IEEE 53rd Annual Conference on Decision and Control (CDC)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/110.1109/CDC.2014.7040319
dc.description.versionAccepted versionen_US


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