Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/69560
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dc.contributor.authorAhmad Reza Shehabinia
dc.date.accessioned2017-02-13T08:04:57Z
dc.date.available2017-02-13T08:04:57Z
dc.date.issued2017
dc.identifier.citationAhmad Reza Shehabinia. (2017). Time optimal supervisory control of discrete event systems. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/69560
dc.description.abstractThis thesis focuses on the time-related performance objectives in supervisor synthesis of discrete event systems (DES). With this purpose in mind, we exploit the finite-state timed-weighted automaton as the modeling formalism. First, we present the concept of throughput to evaluate the time-performance of systems with cyclic behaviors. We formulate the supervisory synthesis problem ensuring both logic correctness and optimal throughput. After showing the existence of the supremal controllable sublanguage with maximum throughput, an algorithm is provided to compute such a supervisor. In the sequel, we model an operational and scheduling problem under multiple job deadlines, where each job is represented by a finite language and has to be completed within a finite period. The first step is to compute the supremal controllable job satisfaction sublanguage where all jobs and deadlines are met. In the case of nonempty supremal sublanguage, by adding proper delays to controllable transitions, we seek for one of the maximal controllable sublanguages that ensure the minimum total job earliness. If the supremal sublanguage is empty, we will relax some of the job deadlines, and compute a maximal controllable minimum-earliness.en_US
dc.format.extent98 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineeringen_US
dc.titleTime optimal supervisory control of discrete event systemsen_US
dc.typeThesis
dc.contributor.supervisorSu Rongen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeDoctor of Philosophy (EEE)en_US
dc.identifier.doi10.32657/10356/69560-
item.grantfulltextopen-
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Appears in Collections:EEE Theses
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