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

Luis F. Domínguez; Efstratios N. Pistikopoulos

doi:10.3182/20100901-3-IT-2016.00073

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

Luis F. Domínguez, Efstratios N. Pistikopoulos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

19 Scopus citations

Abstract

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 language	English (US)
Title of host publication	IFAC Proceedings Volumes
Publisher	Elsevier BV
Pages	539-544
Number of pages	6
ISBN (Print)	9783902661807
DOIs	https://doi.org/10.3182/20100901-3-IT-2016.00073
State	Published - Sep 2010
Externally published	Yes

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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title = "A novel mp-NLP algorithm for explicit/multi-parametric NMPC",

abstract = "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. {\textcopyright} 2010 IFAC.",

author = "Dom{\'i}nguez, {Luis F.} and Pistikopoulos, {Efstratios N.}",

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.",

year = "2010",

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doi = "10.3182/20100901-3-IT-2016.00073",

language = "English (US)",

isbn = "9783902661807",

pages = "539--544",

booktitle = "IFAC Proceedings Volumes",

publisher = "Elsevier BV",

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AU - Domínguez, Luis F.

AU - Pistikopoulos, Efstratios N.

N1 - 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.

PY - 2010/9

Y1 - 2010/9

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/669839

UR - https://linkinghub.elsevier.com/retrieve/pii/S1474667015370191

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U2 - 10.3182/20100901-3-IT-2016.00073

DO - 10.3182/20100901-3-IT-2016.00073

M3 - Conference contribution

SN - 9783902661807

SP - 539

EP - 544

BT - IFAC Proceedings Volumes

PB - Elsevier BV

ER -

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

Abstract

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