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.
Original language | English (US) |
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Pages (from-to) | 609-619 |
Number of pages | 11 |
Journal | Industrial & Engineering Chemistry Research |
Volume | 50 |
Issue number | 2 |
DOIs | |
State | Published - Jan 19 2011 |
Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledgements: 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.