Téléchargez le livre : Nonlinear Model Predictive Control

Nonlinear Model Predictive Control

Theory and Algorithms
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Paru le : 2011-04-11

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inv...
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Description du livre

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.

À propos

Auteur
Lars Grüne , Jürgen Pannek
Éditeur
Springer
Collection
Communications and Control Engineering
Parution
2011-04-11
Pages
360 pages
EAN papier
9780857295002

Auteur(s) du livre


Defaut-Illustration Lars Grüne
Defaut-Illustration Jürgen Pannek

Caractéristiques détaillées - droits

EAN EPUB
9780857295019
Prix
158,99 €
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
5704 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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