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Supervisory control using variable lookahead policies

dc.contributor.authorLin, Fengen_US
dc.contributor.authorChung, Sheng-Luenen_US
dc.contributor.authorLafortune, Stéphaneen_US
dc.date.accessioned2006-09-11T15:42:01Z
dc.date.available2006-09-11T15:42:01Z
dc.date.issued1994-07en_US
dc.identifier.citationChung, Sheng-Luen; Lafortune, Stéphane; Lin, Feng; (1994). "Supervisory control using variable lookahead policies." Discrete Event Dynamic Systems: Theory and Applications 4(3): 237-268. <http://hdl.handle.net/2027.42/45124>en_US
dc.identifier.issn0924-6703en_US
dc.identifier.issn1573-7594en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45124
dc.description.abstractThis paper deals with the efficient on-line calculation of supervisory controls for discrete event systems (DES's) in the framework of limited lookahead control policies (or LLPs) that we introduced in previous papers. In the LLP scheme, the control action after a given trace of events has been executed is calculated on-line on the basis of an N -step ahead projection of the behavior of the DES. To compute these controls, one must calculate after the execution of each event the supremal controllable sublanguage of a finite language with respect to another finite larger language. In our previous work, we showed how the required supremal controllable sublanguage calculation can be performed by using a backward dynamic programming algorithm over the nodes of the tree representation of these two languages. In this paper, we pursue the same approach for the calculation of LLP controls, but instead we adopt a forward calculation procedure over the N -level tree of interest. This forward procedure improves upon previous work by avoiding the explicit consideration of all the nodes of the N -level tree, while still permitting tree-to-tree recursiveness as enabled events are executed by the system. The forward search ends whenever a control decision can be made unambiguously or whenever the boundary of the N -level tree is reached, whichever comes first. This motivates the name “Variable Lookahead Policy” (or VLP) for this implementation of the LLP supervisory control scheme. This paper presents a general VLP algorithm and studies the properties of several special cases of it. The paper also discusses the implementation of the VLP algorithms and presents computational results regarding the application of these algorithms to a “time-varying” DES.en_US
dc.format.extent1459885 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherMathematicsen_US
dc.subject.otherSystems Theory, Controlen_US
dc.subject.otherConvex and Discrete Geometryen_US
dc.subject.otherManufacturing, Machines, Toolsen_US
dc.subject.otherElectronic and Computer Engineeringen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherSupervisory Controlen_US
dc.subject.otherLimited Lookahead Policiesen_US
dc.subject.otherDynamic Programmingen_US
dc.titleSupervisory control using variable lookahead policiesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMechanical Engineeringen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical Engineering and Computer Science, University of Michigan, 48109-2122, Ann Arbor, MIen_US
dc.contributor.affiliationotherDepartment of Electrical and Computer Engineering, Wayne State University, 48202, Detroit, MIen_US
dc.contributor.affiliationotherDepartment of Electrical Engineering, National Taiwan Institute of Technology, 106, Taipei, Taiwanen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45124/1/10626_2005_Article_BF01438709.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF01438709en_US
dc.identifier.sourceDiscrete Event Dynamic Systems: Theory and Applicationsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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