NecSys'09 Paper Abstract

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Paper FrGT1.13

Battistelli, Giorgio (Univ. of Florence), Benavoli, Alessio (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale), Chisci, Luigi (Universita' di Firenze)

State Estimation with Remote Sensors and Data-Driven Communication

Scheduled for presentation during the Poster Session "Control with information and communication constraints" (FrGT1), Friday, September 25, 2009, 14:50−16:30, Room T1

1st IFAC Workshop on Estimation and Control of Networked Systems, September 24-26, 2009, Venice, Italy

This information is tentative and subject to change. Compiled on May 26, 2018

Keywords Coordinated control and estimation over networks, Control with communication constraints (quantization effects etc)

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 sensors. More specifically, the attention is devoted to a centralized sensor network and data-driven strategies for deciding when transmitting data from each sensor to the fusion node are considered. Sufficient conditions for the boundedness of the state covariance at the fusion node are given. Further, the possibility of determining a communication strategy with optimal performance in terms of minimum mean square estimation error at the fusion node is investigated.

 

 

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