eprintid: 734
rev_number: 14
eprint_status: archive
userid: 7
dir: disk0/00/00/07/34
datestamp: 2011-07-29 10:18:25
lastmod: 2011-11-16 11:50:12
status_changed: 2011-07-29 10:18:25
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Bernardini, Daniele
creators_name: Donkers, M.C.F.
creators_name: Bemporad, Alberto
creators_name: Heemels, W.P.M.H.
creators_id: daniele.bernardini@imtlucca.it
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
title: A model predictive control approach for stochastic networked control systems
ispublished: pub
subjects: QA75
subjects: TJ
divisions: CSA
full_text_status: none
abstract: In this paper we present a stochastic model predictive control (SMPC) approach for networked control systems (NCSs) that are subject to time-varying sampling intervals and time-varying transmission delays. These network-induced uncertain parameters are assumed to be described by random processes, having a bounded support and an arbitrary continuous probability density function. Assuming that the controlled plant can be modeled as a linear system, we present a SMPC formulation based on scenario enumeration and quadratic programming that optimizes a stochastic performance index and provides closed-loop stability in the mean-square sense. Simulation results are shown to demonstrate the performance of the proposed approach.
date: 2010
date_type: published
publisher: IFAC
pages: 6
id_number: 10.3182/20100913-2-FR-4014.00007
refereed: TRUE
isbn: 978-3-902661-82-1
book_title: 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems
official_url: http://www.ifac-papersonline.net/Detailed/44627.html
citation:   Bernardini, Daniele and Donkers, M.C.F. and Bemporad, Alberto and Heemels, W.P.M.H.  A model predictive control approach for stochastic networked control systems.   In:  2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems.   IFAC.  ISBN 978-3-902661-82-1      (2010)