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2016 | OriginalPaper | Buchkapitel

20. Data-Driven Filter Design for Linear Networked Systems with Bounded Noise

verfasst von : Yuanqing Xia, Li Dai, Wen Xie, Yulong Gao

Erschienen in: Proceedings of the 2015 Chinese Intelligent Systems Conference

Verlag: Springer Berlin Heidelberg

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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.

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Metadaten
Titel
Data-Driven Filter Design for Linear Networked Systems with Bounded Noise
verfasst von
Yuanqing Xia
Li Dai
Wen Xie
Yulong Gao
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-48386-2_20