TY  - CHAP
N2  - 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.
EP  - 157
TI  - Discrete and hybrid stochastic state estimation algorithms
for Networked control systems

M1  - 4981
UR  - http://dx.doi.org/10.1007/978-3-540-78929-1_11
ID  - eprints515
SP  - 144
ED  - Egerstedt, Magnus
ED  - Mishra, Bud
PB  - Springer-Verlag
T2  - Hybrid Systems: Computation and Control 
Y1  - 2008///
SN  - 9783540789284
A1  - Di Cairano, Stefano
A1  - Johasson, K.H.
A1  - Bemporad, Alberto
A1  - Murray, Richard M.
AV  - none
ER  -