eprintid: 1050
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/10/50
datestamp: 2012-01-09 13:58:30
lastmod: 2012-01-09 13:58:30
status_changed: 2012-01-09 13:58:30
type: article
metadata_visibility: show
contact_email: alberto.bemporad@imtlucca.it
creators_name: Ocampo-Martinez, Carlos
creators_name: Barcelli, Davide
creators_name: Puig, Vicenç
creators_name: Bemporad, Alberto
creators_id: 
creators_id: 
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
title: Hierarchical and decentralised model predictive control of drinking water networks: application to Barcelona case study
ispublished: pub
subjects: QA75
subjects: TK
divisions: CSA
full_text_status: none
abstract: A hierarchical and decentralised model predictive control (DMPC) strategy for drinking water networks (DWN) is proposed. The DWN is partitioned into a set of subnetworks using a partitioning algorithm that makes use of the topology of the network, historic information about the actuator usage and heuristics. A suboptimal DMPC strategy was derived, which consists in a set of MPC controllers, whose prediction model is a plant partition, where each element solves its control problem in a hierarchical order. A comparative simulation study between centralised MPC (CMPC) and DMPC approaches is developed using a case study, which consists in an aggregate version of the Barcelona DWN. Results have shown the effectiveness of the proposed DMPC approach in terms of the scalability of computations with an acceptable admissible loss of performance in all the considered scenarios. 
date: 2012-01
date_type: published
publication: IET Control Theory and Applications 
volume: 6
number: 1
publisher: Institution of engineering and technology
pagerange: 62
id_number: 10.1049/iet-cta.2010.0737
refereed: TRUE
issn: 1751-8644
official_url: http://dx.doi.org/10.1049/iet-cta.2010.0737
citation:   Ocampo-Martinez, Carlos and Barcelli, Davide and Puig, Vicenç and Bemporad, Alberto  Hierarchical and decentralised model predictive control of drinking water networks: application to Barcelona case study.  IET Control Theory and Applications , 6 (1).  p. 62.  ISSN 1751-8644      (2012)