Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems

Yiyong Sun, Jinyong Yu, Ziran Chen, Xing Xing

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摘要

This paper investigates the problem of H∞ filtering for polynomial-fuzzy-model-based discrete-time networked systems under an event-triggered scheme. A polynomial fuzzy filter is designed to estimate the control output. In order to reduce the data size transmitted in a network, signal quantization is managed via a logarithmic quantizer. A novel method is designed to guarantee a filtering error system to be asymptotically stable and to satisfy the desired performance. Furthermore, sufficient conditions developed via the method are represented as a sum of squares, which can be solved by SOSTOOLS. A simulation example is provided to demonstrate the effectiveness of the proposed results.

源语言英语
文章编号7105381
页(从-至)7163-7170
页数8
期刊IEEE Transactions on Industrial Electronics
62
11
DOI
出版状态已出版 - 1 11月 2015
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引用此

Sun, Y., Yu, J., Chen, Z., & Xing, X. (2015). Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems. IEEE Transactions on Industrial Electronics, 62(11), 7163-7170. 文章 7105381. https://doi.org/10.1109/TIE.2015.2431637