Articles liés à Robustification of nonlinear model predictive control
Synopsis
This work deals with the problem of trajectory tracking for a nonlinear system with unknown but bounded model parameters uncertainties. First, this work focuses on the design of classical robust nonlinear model predictive control (RNMPC) law subject to model parameters uncertainties implying solving min-max optimization problem. Secondly, a new approach is proposed, consisting in approaching the basic min-max problem into a more tractable optimization problem based on the use of linearization techniques, to ensure a good trade-off between tracking accuracy and computation time. The robust stability of the closed-loop system is addressed. The developed strategy is applied in simulation to a simplified macroscopic continuous photobioreactor model and is compared to the RNMPC controller. Its efficiency is illustrated through numerical results and robustness against parameter uncertainties.
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À propos de l?auteur
Seif Eddine Benattia received the Ph.D. degree from CentraleSupélec, France, in 2016. Since 2013, he has been with the Signal and Systems Laboratory in the Automatic Control Department. His current research deals with robust predictive methods for control and applications to bioprocesses (modelling and control).
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Robustification of nonlinear model predictive control
Edité par
LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10 : 3659977411
ISBN 13 : 9783659977411
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work deals with the problem of trajectory tracking for a nonlinear system with unknown but bounded model parameters uncertainties. First, this work focuses on the design of classical robust nonlinear model predictive control (RNMPC) law subject to model parameters uncertainties implying solving min-max optimization problem. Secondly, a new approach is proposed, consisting in approaching the basic min-max problem into a more tractable optimization problem based on the use of linearization techniques, to ensure a good trade-off between tracking accuracy and computation time. The robust stability of the closed-loop system is addressed. The developed strategy is applied in simulation to a simplified macroscopic continuous photobioreactor model and is compared to the RNMPC controller. Its efficiency is illustrated through numerical results and robustness against parameter uncertainties. 204 pp. Englisch. N° de réf. du vendeur 9783659977411
Quantité disponible : 2 disponible(s)
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Robustification of nonlinear model predictive control
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659977411
ISBN 13 : 9783659977411
Neuf
Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. N° de réf. du vendeur 26394736353
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Robustification of nonlinear model predictive control
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659977411
ISBN 13 : 9783659977411
Neuf
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand. N° de réf. du vendeur 401640766
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Robustification of nonlinear model predictive control
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LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659977411
ISBN 13 : 9783659977411
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. N° de réf. du vendeur 158607231
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Robustification of nonlinear model predictive control
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659977411
ISBN 13 : 9783659977411
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18394736363
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Robustification of nonlinear model predictive control
Edité par
LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10 : 3659977411
ISBN 13 : 9783659977411
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -This work deals with the problem of trajectory tracking for a nonlinear system with unknown but bounded model parameters uncertainties. First, this work focuses on the design of classical robust nonlinear model predictive control (RNMPC) law subject to model parameters uncertainties implying solving min-max optimization problem. Secondly, a new approach is proposed, consisting in approaching the basic min-max problem into a more tractable optimization problem based on the use of linearization techniques, to ensure a good trade-off between tracking accuracy and computation time. The robust stability of the closed-loop system is addressed. The developed strategy is applied in simulation to a simplified macroscopic continuous photobioreactor model and is compared to the RNMPC controller. Its efficiency is illustrated through numerical results and robustness against parameter uncertainties.Books on Demand GmbH, Überseering 33, 22297 Hamburg 204 pp. Englisch. N° de réf. du vendeur 9783659977411
Quantité disponible : 2 disponible(s)
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Robustification of nonlinear model predictive control
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659977411
ISBN 13 : 9783659977411
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work deals with the problem of trajectory tracking for a nonlinear system with unknown but bounded model parameters uncertainties. First, this work focuses on the design of classical robust nonlinear model predictive control (RNMPC) law subject to model parameters uncertainties implying solving min-max optimization problem. Secondly, a new approach is proposed, consisting in approaching the basic min-max problem into a more tractable optimization problem based on the use of linearization techniques, to ensure a good trade-off between tracking accuracy and computation time. The robust stability of the closed-loop system is addressed. The developed strategy is applied in simulation to a simplified macroscopic continuous photobioreactor model and is compared to the RNMPC controller. Its efficiency is illustrated through numerical results and robustness against parameter uncertainties. N° de réf. du vendeur 9783659977411
Quantité disponible : 1 disponible(s)
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Robustification of nonlinear model predictive control
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659977411
ISBN 13 : 9783659977411
Neuf
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 204 pages. 8.66x5.91x0.46 inches. In Stock. N° de réf. du vendeur 3659977411
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