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dc.contributor.authorDomínguez, Luis F.
dc.contributor.authorPistikopoulos, Efstratios N.
dc.date.accessioned2016-02-28T05:51:31Z
dc.date.available2016-02-28T05:51:31Z
dc.date.issued2011-01-19
dc.identifier.citationDomínguez LF, Pistikopoulos EN (2011) Recent Advances in Explicit Multiparametric Nonlinear Model Predictive Control. Ind Eng Chem Res 50: 609–619. Available: http://dx.doi.org/10.1021/ie100245z.
dc.identifier.issn0888-5885
dc.identifier.issn1520-5045
dc.identifier.doi10.1021/ie100245z
dc.identifier.urihttp://hdl.handle.net/10754/599458
dc.description.abstractIn this paper we present recent advances in multiparametric nonlinear programming (mp-NLP) algorithms for explicit nonlinear model predictive control (mp-NMPC). Three mp-NLP algorithms for NMPC are discussed, based on which novel mp-NMPC controllers are derived. The performance of the explicit controllers are then tested and compared in a simulation example involving the operation of a continuous stirred-tank reactor (CSTR). © 2010 American Chemical Society.
dc.description.sponsorshipThe authors are thankful for the financial support from the Mexican Council for Science and Technology (CONACyT), the European Research Council (MOBILE, ERC Advanced Grant, No: 226462), EPRSC (Grant EP/G059071/1), KAUST, and the CPSE Industrial Consortium.
dc.publisherAmerican Chemical Society (ACS)
dc.titleRecent Advances in Explicit Multiparametric Nonlinear Model Predictive Control
dc.typeArticle
dc.identifier.journalIndustrial & Engineering Chemistry Research
dc.contributor.institutionImperial College London, London, United Kingdom


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