eprintid: 2174
rev_number: 8
eprint_status: archive
userid: 6
dir: disk0/00/00/21/74
datestamp: 2014-03-05 13:42:53
lastmod: 2014-11-19 11:15:43
status_changed: 2014-03-05 13:42:53
type: article
metadata_visibility: show
creators_name: Júlvez, Jorge
creators_name: Di Cairano, Stefano
creators_name: Bemporad, Alberto
creators_name: Mahulea, Cristian
creators_id: 
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
title: Event-driven model predictive control of timed hybrid Petri nets
ispublished: pub
subjects: TJ
divisions: CSA
full_text_status: none
keywords: hybrid Petri nets, event-driven control, model predictive control
abstract: Hybrid Petri nets represent a powerful modeling formalism that offers the possibility of integrating, in a natural way, continuous and discrete dynamics in a single net model. Usual control approaches for hybrid nets can be divided into discrete-time and continuous-time approaches. Continuous-time approaches are usually more precise, but can be computationally prohibitive. Discrete-time approaches are less complex, but can entail mode-mismatch errors due to fixed time discretization. This work proposes an optimization-based event-driven control approach that applies on continuous time models and where the control actions change when discrete events occur. Such an approach is computationally feasible for systems of interest in practice and avoids mode-mismatch errors. In order to handle modelling errors and exogenous disturbances, the proposed approach is implemented in a closed-loop strategy based on event-driven model predictive control
date: 2014-08
date_type: published
publication: International Journal of Robust and Nonlinear Control 
volume: 24
number: 12
publisher: Wiley-Blackwell
pagerange: 1724-1742
id_number: 10.1002/rnc.2958
refereed: TRUE
issn: 1049-8923
official_url: http://dx.doi.org/10.1002/rnc.2958
citation:   Júlvez, Jorge and Di Cairano, Stefano and Bemporad, Alberto and Mahulea, Cristian  Event-driven model predictive control of timed hybrid Petri nets.  International Journal of Robust and Nonlinear Control , 24 (12).  pp. 1724-1742.  ISSN 1049-8923      (2014)