A novel mp-NLP algorithm for explicit/multi-parametric NMPC

Luis F. Domínguez, Efstratios N. Pistikopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations


In this work we present a novel multi-parametric nonlinear programming (mp-NLP) algorithm for explicit multi-parametric nonlinear model predictive control (mp-NMPC). The algorithm is based on (i) local sensitivity analysis of nonlinear programs (NLP), and (ii) an exploration procedure which makes use of successive linearizations of the dynamic system and the nonlinear constraints. The algorithm is illustrated with an example problem drawn from the open literature. © 2010 IFAC.
Original languageEnglish (US)
Title of host publicationIFAC Proceedings Volumes
PublisherElsevier BV
Number of pages6
ISBN (Print)9783902661807
StatePublished - Sep 2010
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-07-01
Acknowledgements: This work was supported in part by the Mexican Council for Science and Technology (Conacyt), the European Union (PROMATCH Marie Curie MRTN-CT-2004-512441), the European Research Council (MOBILE, ERC Advanced Grant, No: 226462), KAUST and the CPSE Industrial Consortium
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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