Explicit Approaches to Constrained Model Predictive Control: A Survey

This paper presents a review of the explicit approaches to constrained model predictive control. The main motivation behind the explicit solution is that it avoids the need for real-time optimization, and thus allows implementation at high sampling frequencies in real-time systems with high reliabil...

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Main Authors: Alexandra Grancharova, Tor A. Johansen
Format: Article
Language:English
Published: Norwegian Society of Automatic Control 2004-07-01
Series:Modeling, Identification and Control
Subjects:
Online Access:http://www.mic-journal.no/PDF/2004/MIC-2004-3-1.pdf
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author Alexandra Grancharova
Tor A. Johansen
author_facet Alexandra Grancharova
Tor A. Johansen
author_sort Alexandra Grancharova
collection DOAJ
description This paper presents a review of the explicit approaches to constrained model predictive control. The main motivation behind the explicit solution is that it avoids the need for real-time optimization, and thus allows implementation at high sampling frequencies in real-time systems with high reliability and low software complexity. The paper is organized as follows. Section 1 includes formulation of the constrained linear quadratic regulation (LQR) problem, summary of the implicit approaches, and the basics of the model predictive control (MPC). Sections 2 and 3 consider respectively the exact and the approximate approaches to explicit solution of constrained MPC problems, together with several examples.
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spelling doaj.art-b63c7f71c2f342c0b7a76b58912119702022-12-22T03:26:43ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13282004-07-0125313115710.4173/mic.2004.3.1Explicit Approaches to Constrained Model Predictive Control: A SurveyAlexandra GrancharovaTor A. JohansenThis paper presents a review of the explicit approaches to constrained model predictive control. The main motivation behind the explicit solution is that it avoids the need for real-time optimization, and thus allows implementation at high sampling frequencies in real-time systems with high reliability and low software complexity. The paper is organized as follows. Section 1 includes formulation of the constrained linear quadratic regulation (LQR) problem, summary of the implicit approaches, and the basics of the model predictive control (MPC). Sections 2 and 3 consider respectively the exact and the approximate approaches to explicit solution of constrained MPC problems, together with several examples.http://www.mic-journal.no/PDF/2004/MIC-2004-3-1.pdfModel predictive controlconstraintsmulti-parametric quadratic programming
spellingShingle Alexandra Grancharova
Tor A. Johansen
Explicit Approaches to Constrained Model Predictive Control: A Survey
Modeling, Identification and Control
Model predictive control
constraints
multi-parametric quadratic programming
title Explicit Approaches to Constrained Model Predictive Control: A Survey
title_full Explicit Approaches to Constrained Model Predictive Control: A Survey
title_fullStr Explicit Approaches to Constrained Model Predictive Control: A Survey
title_full_unstemmed Explicit Approaches to Constrained Model Predictive Control: A Survey
title_short Explicit Approaches to Constrained Model Predictive Control: A Survey
title_sort explicit approaches to constrained model predictive control a survey
topic Model predictive control
constraints
multi-parametric quadratic programming
url http://www.mic-journal.no/PDF/2004/MIC-2004-3-1.pdf
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