@inproceedings{8b29f8d51d294b8587c1ab4714b5c81a,
title = "Data-driven filter design for linear networked systems with bounded noise",
abstract = "Considering the case that the mathematical model of control plant is unavailable, this paper is concerned with the problem of data-driven filtering for linear networked systems with bounded noise and transmission data dropouts. One merit of the design is that the filter can be directly employed without identifying the model. To overcome the effect of data dropouts during the transmission, an output predictor is designed based only on the received output and input of the system. By utilizing the predicted output, a direct worst-case almost-optimal filter within the set membership framework is presented.",
keywords = "Data dropout, Data-driven filter, Networked system, Set membership filter",
author = "Yuanqing Xia and Li Dai and Wen Xie and Yulong Gao",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2016.; Chinese Intelligent Systems Conference, CISC 2015 ; Conference date: 01-01-2015",
year = "2016",
doi = "10.1007/978-3-662-48386-2\_20",
language = "English",
isbn = "9783662483848",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "183--193",
editor = "Hongbo Li and Weicun Zhang and Yingmin Jia and Junping Du",
booktitle = "Proceedings of the 2015 Chinese Intelligent Systems Conference",
address = "Germany",
}