Recent Advances in Explicit Multiparametric Nonlinear Model Predictive Control
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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.
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.
SponsorsThe 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.
PublisherAmerican Chemical Society (ACS)