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)Full text not available from this repository.
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.
|Item Type:||Book Section|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Research Area:||Computer Science and Applications|
|Depositing User:||Professor Alberto Bemporad|
|Date Deposited:||27 Jul 2011 08:36|
|Last Modified:||05 Aug 2011 12:53|
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