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dc.contributor.authorKrishnan, A
dc.contributor.authorPatil, BV
dc.contributor.authorNataraj, PSV
dc.contributor.authorMaciejowski, Jan
dc.contributor.authorLing, KV
dc.date.accessioned2018-12-19T00:30:40Z
dc.date.available2018-12-19T00:30:40Z
dc.date.issued2017
dc.identifier.isbn9781509017959
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/287163
dc.description.abstract© 2017 IEEE. This paper presents a comparative study of two widely accepted model predictive control schemes based on mixed logical dynamical (MLD) and nonlinear modeling approaches with application to a continuous stirred tank reactor (CSTR) system. Specifically, we approximate the nonlinear behavior of a CSTR system with multiple local linear models in a MLD framework. The main benefit of such a scheme is the significant improvement in model accuracy when compared with a single linearized model. The benefits and trade-offs associated with predictive control laws synthesized using MLD and nonlinear modeling approaches are also compared.
dc.description.sponsorshipNational Research Foundation, Singapore.
dc.publisherIEEE
dc.titleModel predictive control of a CSTR: A comparative study among linear and nonlinear model approaches
dc.typeConference Object
prism.endingPage187
prism.publicationDate2017
prism.publicationName2017 Indian Control Conference, ICC 2017 - Proceedings
prism.startingPage182
dc.identifier.doi10.17863/CAM.34472
dcterms.dateAccepted2016-09-14
rioxxterms.versionofrecord10.1109/INDIANCC.2017.7846472
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-02-07
dc.contributor.orcidMaciejowski, Jan [0000-0001-8281-8364]
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.conference-name2017 Indian Control Conference (ICC)
pubs.conference-start-date2017-01-04
pubs.conference-finish-date2017-01-06
rioxxterms.freetoread.startdate2018-02-07


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