Horizon Portail d'Information

Ressources numériques

Recherche rapide

Recherche avancée

Recherche alphabétique

Modifier la recherche

Distributed model predictive control made easy , José M. Maestre, Rudy R. Negenborn, ...

Dordrecht , Springer -- 2014

1 vol. (XVIII-600 p.) : ill., couv. ill. en coul. ; 24 cm

International series on intelligent systems, control and automation--science and engineering ; volume 69

978-94-007-7005-8 , rel.

Notes bibliogr. en fin de chapitres

The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, trafficand intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available (4ème de couverture)

Predictive control

Commande prédictive

Pour toute question, contactez la bibliothèque

Horizon Information Portal 3.25_france_v1m© 2001-2019 SirsiDynix Tous droits réservés.

Horizon Portail d'Information