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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 868174, 11 pages
Research Article

Robust Filtering for Networked Stochastic Systems Subject to Sensor Nonlinearity

1State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, Liaoning 116024, China
2School of Electronic Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China

Received 4 November 2012; Accepted 19 December 2012

Academic Editor: Ligang Wu

Copyright © 2013 Guoqiang Wu 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.


The problem of network-based robust filtering for stochastic systems with sensor nonlinearity is investigated in this paper. In the network environment, the effects of the sensor saturation, output quantization, and network-induced delay are taken into simultaneous consideration, and the output measurements received in the filter side are incomplete. The random delays are modeled as a linear function of the stochastic variable described by a Bernoulli random binary distribution. The derived criteria for performance analysis of the filtering-error system and filter design are proposed which can be solved by using convex optimization method. Numerical examples show the effectiveness of the design method.