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Title: Energy-efficient H∞ filtering for networked systems with stochastic signal transmissions
Authors: Zhang, Dan
Cai, Wenjian
Wang, Qing-Guo
Keywords: Energy-efficient; H∞ filtering; Stochastic transmission; Networked systems; Sensor networks
Issue Date: 2014
Source: Zhang, D., Cai, W., & Wang, Q.-G. (2014). Energy-efficient H∞ filtering for networked systems with stochastic signal transmissions. Signal Processing, 101, 134-141.
Series/Report no.: Signal Processing
Abstract: This paper is concerned with the energy-efficient filtering for a class of wireless sensor networks (WSNs). Due to the power limitation of WSNs, the measurement signal is transmitted to the remote filter infrequently and stochastically. A stochastic framework is proposed to formulate the filtering problem for such systems. A sufficient condition is established such that the filtering error system is mean-square stable and achieves a prescribed disturbance attenuation level in the H∞ sense. The optimal filter design is presented to determine the filter gains. Relations between the transmission parameters, e.g., transmission probability, transmission intervals and the filtering performance are obtained. Finally, a continuous stirred tank reactor (CSTR) system is employed to evaluate the effectiveness of the proposed design.
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2014.01.032
Schools: School of Electrical and Electronic Engineering 
Rights: © 2014 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Signal Processing, Elsevier B.V. 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: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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