Data-driven communication for state estimation with sensor networks

• Published in: Automatica (Oxford) Vol. 48; no. 5; pp. 926 - 935
• Main Authors: Battistelli, Giorgio, Benavoli, Alessio, Chisci, Luigi
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.05.2012; Elsevier
• Subjects: Applied sciences; Communication systems; Computer science; control theory; systems; Computer simulation; Computer systems and distributed systems. User interface; Dynamical systems; Estimates; Exact sciences and technology; Networks; Sensor network; Sensors; Software; State estimation; Strategy; Transmission strategies; Transmission strategies; State estimation; Sensor network; Multisensor; Measurement sensor; Information rate; Data transmission; Linear time; Data driven modelling; Dynamical system; Stochastic system; Uncertain system; Efficiency; Discrete time; Sensor array
• ISSN: 0005-1098; 1873-2836
• DOI: 10.1016/j.automatica.2012.02.028

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 consisting of: (1) multiple remote nodes which collect measurements of the given system, compute state estimates at the full measurement rate and transmit data (either raw measurements or estimates) at a reduced communication rate; (2) a fusion node that, based on received data, provides an estimate of the system state at the full rate. Local data-driven transmission strategies are considered and issues related to the stability and performance of such strategies are investigated. Simulation results confirm the effectiveness of the proposed strategies.