Recent Advances in Explicit Multiparametric Nonlinear Model Predictive Control

Type
Article

Authors
Domínguez, Luis F.
Pistikopoulos, Efstratios N.

Date
2011-01-19

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.

Acknowledgements
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.

Publisher
American Chemical Society (ACS)

Journal
Industrial & Engineering Chemistry Research

DOI
10.1021/ie100245z

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