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徐雍

博士生导师
硕士生导师
教师拼音名称:xuyong
出生日期:1983-09-15
入职时间:2015-12-21
所在单位:自动化学院
学历:博士
性别:男
学位:工学博士学位
职称:教授
在职信息:在职
所属院系:自动化学院
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论文成果
Filtering for Fuzzy Systems With Multiplicative Sensor Noises and Multidensity Quantizer
发布时间:2021-03-18    点击次数:

DOI码:10.1109/TFUZZ.2017.2702119

所属单位:广东工业大学自动化学院

发表刊物:IEEE Transactions on Fuzzy Systems

关键字:l2 − l∞ filter, multidensity quantizer, multiplicative sensor noises, networked control systems (NCSs), TakagiSugeno (T–S) fuzzy systems

摘要:This paper considers the problem of I 2 - I ∞ filtering for discrete-time Takagi-Sugeno (T-S) fuzzy systems with multiplicative sensor noises over the channels with limited capacity. A more general multidensity logarithmic quantizer is designed to increase the utilization of the communication resources, and a sojourn-time-dependent Markov chain is used to model the variation of the quantizer density. Then, the fuzzy basis-, quantizer density-, and sojourn-time-dependent filter is designed for T-S fuzzy systems on the basis of the quantized measurements to improve the performance of the filter. Sufficient conditions are proposed to guarantee that the filtering error system is exponentially mean-square stable and achieves a prescribed I 2 - I ∞ performance. Finally, three examples are given to illustrate the developed new design techniques.

论文类型:期刊论文

通讯作者:徐雍

学科门类:工学

文献类型:J

卷号:26

期号:2

页面范围:1011 - 1022

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发表时间:2017-05-08

收录刊物:SCI、EI

发布期刊链接:https://ieeexplore.ieee.org/document/7921605

附件:

07921605 5.pdf