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dc.contributor.authorSoudbakhsh, Damoon
dc.contributor.authorAnnaswamy, Anuradha M.
dc.date.accessioned2014-05-15T17:04:18Z
dc.date.available2014-05-15T17:04:18Z
dc.date.issued2013-06
dc.identifier.isbn978-1-4799-0178-4
dc.identifier.urihttp://hdl.handle.net/1721.1/86999
dc.description.abstractModel predictive control (MPC) has been used in many industrial applications because of its ability to produce optimal performance while accommodating constraints. However, its application on plants with fast time constants is difficult because of its computationally expensive algorithm. In this research, we propose a parallelized MPC that makes use of the structure of the computations and the matrices in the MPC. We show that the computational time of MPC with prediction horizon N can be reduced to O(log(N)) using parallel computing, which is significantly less than that with other available algorithms.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant ECCS-1135815)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6580083en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSoudbakhshen_US
dc.titleParallelized Model Predictive Controlen_US
dc.typeArticleen_US
dc.identifier.citationSoudbakhsh, Damoon and Anuradha M. Annaswamy. "Parallelized Model Predictive Control." 2013 American Control Conference. IEEE, 2013.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.approverAnnaswamy, Anuradhaen_US
dc.contributor.mitauthorSoudbakhsh, Damoonen_US
dc.contributor.mitauthorAnnaswamy, Anuradha M.en_US
dc.relation.journalProceedings of the 2013 American Control Conferenceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsSoudbakhsh, Damoon; Annaswamy, Anuradha M.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4354-0459
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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