eprintid: 731
rev_number: 9
eprint_status: archive
userid: 7
dir: disk0/00/00/07/31
datestamp: 2011-07-28 10:49:45
lastmod: 2014-07-02 14:14:52
status_changed: 2011-07-28 10:49:45
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Bemporad, Alberto
creators_name: Barcelli, Davide
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
title: Decentralized model predictive control 
ispublished: pub
subjects: TJ
divisions: CSA
full_text_status: none
abstract: Decentralized and distributed model predictive control (DMPC) addresses the problem of controlling a multivariable dynamical process, composed by several interacting subsystems and subject to constraints, in a computation and communication efficient way. Compared to a centralized MPC setup, where a global optimal control problem must be solved on-line with respect to all actuator commands given the entire set of states, in DMPC the control problem is divided into a set of local MPCs of smaller size, that cooperate by communicating each other a certain information set, such as local state measurements, local decisions, optimal local predictions. Each controller is based on a partial (local) model of the overall dynamics, possibly neglecting existing dynamical interactions. The global performance objective is suitably mapped into a local objective for each of the local MPC problems.
This chapter surveys some of the main contributions to DMPC, with an emphasis on a method developed by the authors, by illustrating the ideas on motivating examples. Some novel ideas to address the problem of hierarchical MPC design are also included in the chapter.

date: 2010
date_type: published
series: Lecture Notes in Control and Information Sciences
volume: 406
publisher: Springer-Verlag
pagerange: 149-178
id_number: 10.1007/978-0-85729-033-5_5
refereed: TRUE
isbn: 978-0-85729-032-8
book_title: Networked control systems
editors_name: Bemporad, Alberto
editors_name: Heemels, W.P.M.H.
editors_name: Johansson, Mikael
editors_id: alberto.bemporad@imtlucca.it
editors_id: 
editors_id: 
official_url: http://dx.doi.org/10.1007/978-0-85729-033-5_5
citation:   Bemporad, Alberto and Barcelli, Davide  Decentralized model predictive control.   In:  Networked control systems.   Lecture Notes in Control and Information Sciences, 406 .  Springer-Verlag, pp. 149-178.  ISBN 978-0-85729-032-8      (2010)