This paper deals with the problem of estimating the state of a discrete-time linear stochastic dynamical system on the basis of data collected from multiple sensors subject to a limitation on the communication rate from the remote sensor units. The optimal probabilistic measurement-independent strategy for deciding when to transmit estimates from each sensor is derived. Simulation results show that the derived strategy yields certain advantages in terms of worst-case time-averaged performance with respect to periodic strategies when coordination among sensors is not possible.

State estimation with remote sensors and intermittent transmissions / G. Battistelli; A. Benavoli; L. Chisci. - In: SYSTEMS & CONTROL LETTERS. - ISSN 0167-6911. - STAMPA. - 61:(2012), pp. 155-164. [10.1016/j.sysconle.2011.10.005]

State estimation with remote sensors and intermittent transmissions

BATTISTELLI, GIORGIO;BENAVOLI, ALESSIO;CHISCI, LUIGI
2012

Abstract

This paper deals with the problem of estimating the state of a discrete-time linear stochastic dynamical system on the basis of data collected from multiple sensors subject to a limitation on the communication rate from the remote sensor units. The optimal probabilistic measurement-independent strategy for deciding when to transmit estimates from each sensor is derived. Simulation results show that the derived strategy yields certain advantages in terms of worst-case time-averaged performance with respect to periodic strategies when coordination among sensors is not possible.
2012
61
155
164
G. Battistelli; A. Benavoli; L. Chisci
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/593962
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