eprintid: 515
rev_number: 12
eprint_status: archive
userid: 7
dir: disk0/00/00/05/15
datestamp: 2011-07-27 08:36:21
lastmod: 2011-08-05 12:53:50
status_changed: 2011-07-27 08:36:21
type: book_section
metadata_visibility: show
contact_email: alberto.bemporad@imtlucca.it
item_issues_count: 0
creators_name: Di Cairano, Stefano
creators_name: Johasson, K.H.
creators_name: Bemporad, Alberto
creators_name: Murray, Richard M.
creators_id: alberto.bemporad@imtlucca.it
title: Discrete and hybrid stochastic state estimation algorithms
for Networked control systems

ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
abstract: Networked control systems enable for flexible systems operation and reduce cost of installation and maintenance, potentially at the price of increasing the uncertainty due to information exchange over the network. We focus on the problem of information loss in terms of packet drops, which are modelled as stochastic events that depend on the current
state of the network. To design reliable control systems the state of the network must be estimated online, together with the state of the controlled process. This paper proposes various approaches to discrete and hybrid stochastic estimation of network and process states, where
the network is modelled as a Markov chain and the packet drop probability depends on the states of the Markov chain. The proposed techniques are evaluated on simulations and experimental data.
date: 2008
date_type: published
publication: Hybrid Systems: Computation and Control 
volume: 4981
publisher: Springer-Verlag
pagerange: 144-157
id_number: 0.1007/978-3-540-78929-1
refereed: TRUE
isbn: 9783540789284
book_title: Hybrid Systems: Computation and Control 
editors_name: Egerstedt, Magnus
editors_name: Mishra, Bud
official_url: http://dx.doi.org/10.1007/978-3-540-78929-1_11
citation:   Di Cairano, Stefano and Johasson, K.H. and Bemporad, Alberto and Murray, Richard M.  Discrete and hybrid stochastic state estimation algorithms for Networked control systems.   In:  Hybrid Systems: Computation and Control.   Springer-Verlag, pp. 144-157.  ISBN 9783540789284      (2008)