@inproceedings{6c4f331165864dc3be0144a63725c677,
title = "Remote State Estimation with Data-Driven Communication and Guaranteed Stability",
abstract = "This paper deals with the problem of remote state estimation with limited communication resources. We propose an online data-driven communication scheme based on cumulative innovation and derive the corresponding minimum mean square error (MMSE) estimator. The communication scheme allows to achieve a trade-off between communication costs and estimation performance. The remote estimator can improve the estimation performance based on the fact that no transmission of data indicates a small cumulative innovation. Further, it is proved that the estimator has guaranteed stability-the expected norm of the mean square error (MSE) matrix is bounded and an upper bound is given. We also derive the conditional probability of a future transmission. A simulation example is provided to illustrate the effectiveness of the proposed method.",
keywords = "MMSE estimation, cumulative innovation, data-driven communication, stability",
author = "Xiaolei Bian and Li, \{X. Rong\} and Jilkov, \{Vesselin P.\}",
note = "Publisher Copyright: {\textcopyright} 2018 ISIF; 21st International Conference on Information Fusion, FUSION 2018 ; Conference date: 10-07-2018 Through 13-07-2018",
year = "2018",
month = sep,
day = "5",
doi = "10.23919/ICIF.2018.8455453",
language = "英语",
isbn = "9780996452762",
series = "2018 21st International Conference on Information Fusion, FUSION 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "846--853",
booktitle = "2018 21st International Conference on Information Fusion, FUSION 2018",
}