@inproceedings{ba3491a28f8b46c9aee4471fb55d464b,
title = "Multi-sensor scheduling for state estimation with event-based, stochastic triggers",
abstract = "In Networked Control Systems, remote state estimation is hampered by limitations in sensor to estimator communication. Past approaches involving scheduling sensors dynamically via a deterministic event-triggering mechanism reduce communication while maintaining estimation quality. However, these approaches destroy the Gaussian property of the innovation process, making it computationally intractable to obtain an exact minimum mean squared error (MMSE) estimate. Recent work has proposed utilizing a stochastic event-triggered sensor schedule for state estimation. We extend these results to the multi-sensor case, obtaining closed- form expressions for the MMSE estimator and its covariance matrix as well as performance bounds for the system.",
keywords = "Event-based systems, Gaussian distributions, Kalman-lters, Sensor selection, State estimation",
author = "Sean Weerakkody and Yilin Mo and Bruno Sinopoli and Duo Han and Ling Shi",
year = "2013",
doi = "10.3182/20130925-2-DE-4044.00026",
language = "English",
isbn = "9783902823557",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "PART 1",
pages = "15--22",
booktitle = "4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, NecSys 2013 - Proceedings",
edition = "PART 1",
note = "4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, NecSys 2013 ; Conference date: 25-09-2013 Through 26-09-2013",
}