Treffer: A new algorithm for efficient MPC and a comparison with competing schemes
Title:
A new algorithm for efficient MPC and a comparison with competing schemes
Authors:
Source:
Proceedings of the 2004 American Control Conference ACC (June 30-July 2, 2004, Boston Massachusetts). :222-227
Publisher Information:
Evanston IL; Piscataway NJ: American Automatic Control Council, IEEE, 2004.
Publication Year:
2004
Physical Description:
print, 10 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Automatique théorique. Systèmes, Control theory. Systems, Analyse non convexe, Non convex analysis, Análisis no convexo, Commande MPC, Model predictive control, Control modelo predicativo, Commande linéaire, Linear control, Control lineal, Commande prédictive, Predictive control, Control predictiva, Contrainte espace commande, Control constraint, Control constreñido, Ingénierie système, Systems engineering, Modélisation, Modeling, Modelización, Optimisation sous contrainte, Constrained optimization, Optimización con restricción, Polytope, Politope, Programmation non convexe, Non convex programming, Programación no convexa, Système incertain, Uncertain system, Sistema incierto
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Engineering Cybernetics, Norwegian University of Science and Technology, 7491 Trondheim, Norway
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18351427
Database:
PASCAL Archive
Weitere Informationen
An approach for constrained predictive control of linear systems (or uncertain systems described by polytopic uncertainty models) is presented. The approach consists of a non-convex offline problem, and an efficient online problem. The offline problem can be considered as a generalization of earlier results, and a solver for the non-convex optimization problem is developed. Two examples, one being a laboratory experiment, compare the approach to existing approaches, revealing both advantages and disadvantages.