Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 945271, 19 pages
http://dx.doi.org/10.1155/2012/945271
Research Article

Network-Based Robust Filtering for the Uncertain Systems with Sensor Failures and Noise Disturbance

Mingang Hua,1,2,3 Pei Cheng,4 Juntao Fei,1 Jianyong Zhang,5 and Junfeng Chen1

1College of Computer and Information, Hohai University, Changzhou 213022, China
2Changzhou Key Laboratory of Sensor Networks and Environmental Sensing, Changzhou 213022, China
3Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology, Changzhou 213022, China
4School of Mathematical Sciences, Anhui University, Hefei 230601, China
5Department of Mathematics and Physics, Hohai University, Changzhou 213022, China

Received 24 September 2012; Revised 20 November 2012; Accepted 24 November 2012

Academic Editor: Zhan Shu

Copyright © 2012 Mingang Hua et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The network-based robust filtering for the uncertain system with sensor failures and the noise is considered in this paper. The uncertain system under consideration is also subject to parameter uncertainties and delay varying in an interval. Sufficient conditions are derived for a linear filter such that the filtering error systems are robust globally asymptotically stable while the disturbance rejection attenuation is constrained to a given level by means of the performance index. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities (LMIs), and then the explicit expression is then given for the desired filter parameters. Two numerical examples are exploited to show the usefulness and effectiveness of the proposed filter design method.