eprintid: 428
rev_number: 19
eprint_status: archive
userid: 7
dir: disk0/00/00/04/28
datestamp: 2011-07-27 08:29:32
lastmod: 2011-11-17 11:10:29
status_changed: 2011-07-27 08:29:32
type: book_section
metadata_visibility: show
contact_email: alberto.bemporad@imtlucca.it
item_issues_count: 0
creators_name: Donkers, M.C.F.
creators_name: Heemels, W.P.M.H.
creators_name: Bernardini, Daniele
creators_name: Bemporad, Alberto
creators_name: Shneer, Vsevolod
creators_id: 
creators_id: 
creators_id: daniele.bernardini@imtlucca.it
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
title: Stability analysis of stochastic networked control systems
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
keywords: communication constraints; continuous probability density function;linear matrix inequalities; network protocol; packet dropouts; quadratic protocols; stability analysis; stochastic discrete time switched linear systems; stochastic networked control systems; time varying transmission delays; discrete time systems; distributed control; linear matrix inequalities; linear systems; protocols; stability; stochastic systems
note: Proceeding of the American Control Conference, Baltimore, MD, 2010
abstract: In this paper, we study the stability of Networked Control Systems (NCSs) that are subject to time-varying transmission intervals, time-varying transmission delays, packet-dropouts and communication constraints. Communication constraints impose that, per transmission, only one sensor or actuator node can access the network and send its information. Which node is given access to the network at a transmission time is orchestrated by a so-called network protocol. This paper considers NCSs, in which the transmission intervals and transmission delays are described by a random process, having a continuous probability density function (PDF). By focussing on linear plants and controllers and periodic and quadratic protocols, we present a modelling framework for NCSs based on stochastic discrete-time switched linear systems. Stability (in the mean-square) of these systems is analysed using convex overapproximations and a finite number of linear matrix inequalities. On a benchmark example of a batch reactor, we illustrated the effectiveness of the developed theory.
date: 2010
date_type: published
publication: 2010 American Control Conference
publisher: IEEE
pagerange: 3684 -3689 
event_title: 2010 ACC
event_location: 30 June- 2nd July , 2010
event_dates: Baltimore (MD)
refereed: TRUE
isbn: 978-1-4244-7426-4 
book_title: American Control Conference
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5530632&isnumber=5530425
funders: This work is supported by the European Community through the FP7- ICT-2007-2 thematic programme under the WIDE-224168 project.
projects: WIDE-224168 project.
citation:   Donkers, M.C.F. and Heemels, W.P.M.H. and Bernardini, Daniele and Bemporad, Alberto and Shneer, Vsevolod  Stability analysis of stochastic networked control systems.   In:  American Control Conference.   IEEE, 3684 -3689 .  ISBN 978-1-4244-7426-4       (2010)