Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107414
Title: Robust non-fragile filtering for networked systems with distributed variable delays
Authors: Zhang, Dan
Cai, Wenjian
Wang, Qing-Guo
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems
Issue Date: 2014
Source: Zhang, D., Cai, W., & Wang, Q.-G. (2014). Robust non-fragile filtering for networked systems with distributed variable delays. Journal of the Franklin Institute, 351(7), 4009-4022.
Series/Report no.: Journal of the Franklin Institute
Abstract: This paper is concerned with the robust non-fragile filtering for a class of networked systems with distributed variable delays. We model such a complex delay system with an augmented switched system. For the filtering implementation uncertainty, a stochastic variable is employed to indicate random occurrence of the filter gain change, and a norm bound to measure the change size. The suitably weighted measurements are proposed for filter performance improvement, instead of direct use of the measurements themselves which may have significant delays and degrade the performance. With some improved stability and l2 gain analysis for the switched systems, a new sufficient condition is obtained such that the filtering error system is exponentially stable in the mean square sense and achieves a prescribed H∞ performance level. A numerical example is given to show the effectiveness of the proposed design.
URI: https://hdl.handle.net/10356/107414
http://hdl.handle.net/10220/25454
ISSN: 0016-0032
DOI: 10.1016/j.jfranklin.2014.03.009
Schools: School of Electrical and Electronic Engineering 
Rights: © 2014 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of the Franklin Institute, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.jfranklin.2014.03.009].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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