Recent Advances in Explicit Multiparametric Nonlinear Model Predictive Control

Handle URI:
http://hdl.handle.net/10754/599458
Title:
Recent Advances in Explicit Multiparametric Nonlinear Model Predictive Control
Authors:
Domínguez, Luis F.; Pistikopoulos, Efstratios N.
Abstract:
In 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.
Citation:
Domínguez 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.
Publisher:
American Chemical Society (ACS)
Journal:
Industrial & Engineering Chemistry Research
Issue Date:
19-Jan-2011
DOI:
10.1021/ie100245z
Type:
Article
ISSN:
0888-5885; 1520-5045
Sponsors:
The 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.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorDomínguez, Luis F.en
dc.contributor.authorPistikopoulos, Efstratios N.en
dc.date.accessioned2016-02-28T05:51:31Zen
dc.date.available2016-02-28T05:51:31Zen
dc.date.issued2011-01-19en
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.en
dc.identifier.issn0888-5885en
dc.identifier.issn1520-5045en
dc.identifier.doi10.1021/ie100245zen
dc.identifier.urihttp://hdl.handle.net/10754/599458en
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.en
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.en
dc.publisherAmerican Chemical Society (ACS)en
dc.titleRecent Advances in Explicit Multiparametric Nonlinear Model Predictive Controlen
dc.typeArticleen
dc.identifier.journalIndustrial & Engineering Chemistry Researchen
dc.contributor.institutionImperial College London, London, United Kingdomen
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