Result: Distributed MPC under coupled constraints based on Dantzig-Wolfe decomposition

Title:
Distributed MPC under coupled constraints based on Dantzig-Wolfe decomposition
Authors:
Bourdais, Romain, Buisson, Jean, Dumur, Didier, Guéguen, Hervé, Morosan, Daniel-Petru
Contributors:
Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Supélec Sciences des Systèmes (E3S), Ecole Supérieure d'Electricité - SUPELEC (FRANCE), Maestre, José M., Negenborn, Rudy R. (Eds.)
Source:
Distributed Model Predictive Control Made Easy ; https://centralesupelec.hal.science/hal-00918902 ; Maestre, José M.; Negenborn, Rudy R. (Eds.). Distributed Model Predictive Control Made Easy, Springer, pp.101-114, 2013, Intelligent Systems, Control and Automation: Science and Engineering, Vol. 69, ⟨10.1007/978-94-007-7006-5_6⟩
Publisher Information:
CCSD
Springer
Publication Year:
2013
Collection:
Université de Nantes: HAL-UNIV-NANTES
Subject Terms:
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Document Type:
Book book part
Language:
English
DOI:
10.1007/978-94-007-7006-5_6
Availability:
https://centralesupelec.hal.science/hal-00918902
https://doi.org/10.1007/978-94-007-7006-5_6
Accession Number:
edsbas.2A4FC642
Database:
BASE

Further Information

ISBN : 978-94-007-7006-5 ; In this chapter, we propose a distributed model predictive control scheme based on the Dantzig-Wolfe decomposition to control a collection of linear dynamical systems coupled by linear global constraints. The resulting structure is composed of one optimization agent for each system, and another one that has to ensure that the global constraints are fulfilled. The global solution of the problem is found in a finite number of iterations.