Nonfragile Distributed Filtering for T-S Fuzzy Systems in Sensor Networks

Dan Zhang; Wenjian Cai; Lihua Xie; Qing Guo Wang

doi:10.1109/TFUZZ.2014.2367101

Nonfragile Distributed Filtering for T-S Fuzzy Systems in Sensor Networks

Dan Zhang, Wenjian Cai, Lihua Xie, Qing Guo Wang

Research output: Contribution to journal › Article › peer-review

205 Citations (Scopus)

Abstract

This paper is concerned with the nonfragile distributed H_∞ filtering problem for a class of discrete-time Takagi-Sugeno (T-S) systems in sensor networks. Additive filter gain uncertainties that reflect imprecision in filter implementation are considered. Based on the robust control approach, sufficient conditions are obtained to ensure that the filtering error system is asymptotically stable with a prescribed H_∞ performance level and the eigenvalues of the filtering error system in a given circular region. The filter parameters are determined by solving a set of linear matrix inequalities. A simulation study on the nonlinear tunnel diode circuit system is presented to show the effectiveness of the proposed design method.

Original language	English
Article number	6945844
Pages (from-to)	1883-1890
Number of pages	8
Journal	IEEE Transactions on Fuzzy Systems
Volume	23
Issue number	5
DOIs	https://doi.org/10.1109/TFUZZ.2014.2367101
Publication status	Published - Oct 2015
Externally published	Yes

Keywords

Distributed H filtering
linearmatrix inequality (LMI)
nonfragile filtering
pole assignment
sensor networks

ASJC Scopus subject areas

Control and Systems Engineering
Computational Theory and Mathematics
Artificial Intelligence
Applied Mathematics

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10.1109/TFUZZ.2014.2367101

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abstract = "This paper is concerned with the nonfragile distributed H∞ filtering problem for a class of discrete-time Takagi-Sugeno (T-S) systems in sensor networks. Additive filter gain uncertainties that reflect imprecision in filter implementation are considered. Based on the robust control approach, sufficient conditions are obtained to ensure that the filtering error system is asymptotically stable with a prescribed H∞ performance level and the eigenvalues of the filtering error system in a given circular region. The filter parameters are determined by solving a set of linear matrix inequalities. A simulation study on the nonlinear tunnel diode circuit system is presented to show the effectiveness of the proposed design method.",

keywords = "Distributed H filtering, linearmatrix inequality (LMI), nonfragile filtering, pole assignment, sensor networks",

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AB - This paper is concerned with the nonfragile distributed H∞ filtering problem for a class of discrete-time Takagi-Sugeno (T-S) systems in sensor networks. Additive filter gain uncertainties that reflect imprecision in filter implementation are considered. Based on the robust control approach, sufficient conditions are obtained to ensure that the filtering error system is asymptotically stable with a prescribed H∞ performance level and the eigenvalues of the filtering error system in a given circular region. The filter parameters are determined by solving a set of linear matrix inequalities. A simulation study on the nonlinear tunnel diode circuit system is presented to show the effectiveness of the proposed design method.

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Nonfragile Distributed Filtering for T-S Fuzzy Systems in Sensor Networks

Abstract

Keywords

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